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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. 1-RES-JB
    11. 20905
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     immediate
    -0.67
     smoked
    -0.65
     sol
    -0.64
     tremend
    -0.61
     combust
    -0.60
     whisk
    -0.59
     traveled
    -0.58
     root
    -0.58
     key
    -0.58
     wake
    -0.57
    POSITIVE LOGITS
    theless
    1.36
    tenance
    1.31
    terday
    1.29
    CLASSIFIED
    1.07
    etheless
    1.04
    agascar
    0.93
    looking
    0.93
    adobe
    0.91
    rontal
    0.90
    DragonMagazine
    0.88
    Activations Density 0.173%

    No Known Activations