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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. 4-RES-JB
    11. 9178
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    Explanations

    strings starting with a location or a specific entity followed by a value or characteristic

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "with" in varying contexts

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

    No Comments

    Negative Logits
    ischer
    -0.74
    chuk
    -0.67
    etts
    -0.65
    sylv
    -0.64
    ieri
    -0.63
    zona
    -0.62
    nery
    -0.61
    ilight
    -0.61
    ucci
    -0.59
    coni
    -0.59
    POSITIVE LOGITS
     regards
    1.08
    draw
    1.07
     regard
    1.04
     impunity
    1.02
    stood
    1.01
    drawn
    0.97
    standing
    0.90
     respect
    0.90
    holding
    0.87
     Hits
    0.76
    Activations Density 0.134%

    No Known Activations