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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. 5410
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    Explanations

    mentions of visual elements or effects

    oai_token-act-pair · gpt-3.5-turbo

    terms related to visual representation and effects

    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
    unin
    -0.83
    kson
    -0.80
     Aval
    -0.74
    doms
    -0.74
    gger
    -0.71
    shire
    -0.70
    uddin
    -0.69
    hood
    -0.68
    qv
    -0.67
     Carnegie
    -0.67
    POSITIVE LOGITS
    izations
    1.41
    isations
    1.36
    izing
    1.20
    isation
    1.19
    ized
    1.14
    izers
    1.14
    izer
    1.13
    izes
    1.13
    izable
    1.12
    ization
    1.09
    Activations Density 0.031%

    No Known Activations