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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 3064
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    Explanations

    phrases related to technical details and programming code

    oai_token-act-pair · gpt-3.5-turbo

    exclamatory statements or emphatic expressions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alties
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    rist
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    ths
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    geries
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    ammy
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    paper
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    bara
    -0.60
    shire
    -0.59
    tein
    -0.59
    hern
    -0.59
    POSITIVE LOGITS
    \\\\
    0.61
    á
    0.60
    Í
    0.58
    URI
    0.55
    ThumbnailImage
    0.54
     livest
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    ortunately
    0.52
    ¯
    0.52
     appre
    0.51
     è£ıè
    0.51
    Activations Density 0.216%

    No Known Activations