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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
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    Explanations

    references to different national parks

    oai_token-act-pair · gpt-3.5-turbo

    mentions of national parks

    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
    Bey
    -0.76
    jad
    -0.73
    furt
    -0.71
    forward
    -0.69
    wise
    -0.68
    poll
    -0.68
    upon
    -0.65
     Benz
    -0.65
    asers
    -0.64
     yen
    -0.64
    POSITIVE LOGITS
    conservancy
    0.98
     Sanctuary
    0.82
     Preservation
    0.82
     Conservation
    0.80
     ranger
    0.78
     Refuge
    0.77
    querque
    0.77
     Recreation
    0.76
     Wildlife
    0.75
     wildlife
    0.75
    Activations Density 0.046%

    No Known Activations