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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
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    Explanations

    names, specifically the name "Stefan"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly "Stefan" and "Hasan"

    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
    finger
    -0.82
    uably
    -0.82
    lease
    -0.75
    doms
    -0.72
    pelled
    -0.72
    nergy
    -0.71
    hot
    -0.71
    bell
    -0.70
    road
    -0.70
    KY
    -0.70
    POSITIVE LOGITS
     Marin
    0.97
    ovich
    0.81
     Hasan
    0.77
    ovic
    0.76
    agate
    0.76
     unpop
    0.75
     Stefan
    0.74
    stadt
    0.73
    imov
    0.73
    essen
    0.72
    Activations Density 0.016%

    No Known Activations