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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. 8-RES-JB
    11. 23552
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    Explanations

    short phrases or commands enclosed in quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    quoted text or dialogue in the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     predomin
    -0.72
     caric
    -0.71
     uncond
    -0.66
     stake
    -0.66
     pent
    -0.64
    asers
    -0.63
     exper
    -0.62
     endowed
    -0.60
     invitation
    -0.60
     chairs
    -0.60
    POSITIVE LOGITS
    tis
    0.73
    til
    0.72
    better
    0.71
     ++
    0.71
    said
    0.70
    Mill
    0.70
    Draft
    0.70
    dis
    0.69
    Field
    0.69
    +(
    0.68
    Activations Density 0.076%

    No Known Activations