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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. 11-RES-JB
    11. 23804
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    Explanations

    terminology related to military equipment and vehicles

    oai_token-act-pair · gpt-3.5-turbo

    terms related to military equipment and financial services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endum
    -0.72
    toggle
    -0.64
    >]
    -0.63
    ologically
    -0.63
    untarily
    -0.63
    alloween
    -0.63
    abba
    -0.61
    bably
    -0.61
    optional
    -0.61
    ython
    -0.60
    POSITIVE LOGITS
    ,,
    0.92
     etc
    0.88
    ,
    0.83
    ;
    0.82
     whereas
    0.80
     and
    0.78
    %,
    0.76
     (),
    0.76
    ,[
    0.75
     ,
    0.73
    Activations Density 0.886%

    No Known Activations