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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. 3-RES-JB
    11. 13243
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    Explanations

    keywords related to essential or core elements of a text

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the concept of "main" or "main reasons" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AUT
    -0.66
     McKenna
    -0.64
     Sorceress
    -0.64
    omic
    -0.64
     Seconds
    -0.63
    ENC
    -0.62
    Fra
    -0.62
     Ago
    -0.61
    SN
    -0.60
     Matthews
    -0.59
    POSITIVE LOGITS
    stay
    1.38
    tenance
    1.09
    deck
    0.92
     arteries
    0.91
     artery
    0.85
    tan
    0.84
    yout
    0.83
     culprit
    0.82
    frame
    0.81
     contributor
    0.80
    Activations Density 0.020%

    No Known Activations