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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. 16458
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    Explanations

    references to locations or events, particularly ones related to accidents or emergencies

    oai_token-act-pair · gpt-3.5-turbo

    references to locations where incidents occur

    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
    thood
    -0.84
    sylv
    -0.80
    iago
    -0.74
    raltar
    -0.73
    haps
    -0.69
    yip
    -0.68
    scrib
    -0.67
    utm
    -0.67
    gey
    -0.67
     Seym
    -0.66
    POSITIVE LOGITS
     scene
    0.88
     aftermath
    0.80
     where
    0.80
     area
    0.78
     perimeter
    0.76
     of
    0.76
     EMS
    0.76
     shortly
    0.75
     located
    0.74
     unfolding
    0.72
    Activations Density 0.061%

    No Known Activations