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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. 6382
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    INDEX
    Explanations

    dates in reference to documents or articles

    oai_token-act-pair · gpt-3.5-turbo

    dates and citations in a formal context

    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
     baking
    -0.76
     favourite
    -0.74
    venge
    -0.73
    amiya
    -0.73
     befriend
    -0.72
     mould
    -0.70
     experimenting
    -0.69
     favourites
    -0.69
    isable
    -0.69
     charms
    -0.69
    POSITIVE LOGITS
     Accessed
    1.68
     Retrieved
    1.60
    pdf
    1.24
    PDF
    1.21
     http
    1.21
    http
    1.19
     Transcript
    1.15
     Available
    1.11
     accessed
    1.09
    Statement
    1.07
    Activations Density 0.280%

    No Known Activations