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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. 0-RES-JB
    11. 7724
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    Explanations

    words related to negative incidents or situations

    oai_token-act-pair · gpt-3.5-turbo

    references to projects or themes of disturbance and disapproval

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mer
    -0.71
    SHIP
    -0.69
    osi
    -0.68
     Accord
    -0.68
     confirm
    -0.66
    ixie
    -0.64
    enei
    -0.64
     confir
    -0.64
     Empress
    -0.62
    peak
    -0.61
    POSITIVE LOGITS
    projects
    2.76
     Balkans
    0.96
    Trend
    0.94
     nightmares
    0.92
    chwitz
    0.74
    mount
    0.73
    Redd
    0.70
     Rohing
    0.67
     Defendants
    0.63
    ãĥ¬
    0.62
    Activations Density 0.016%

    No Known Activations