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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. 6-RES-JB
    11. 17679
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    INDEX
    Explanations

    names or entities with 'je' in them

    oai_token-act-pair · gpt-3.5-turbo

    names, specifically proper nouns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ingham
    -0.83
    moving
    -0.75
    prop
    -0.74
    iqu
    -0.73
    norm
    -0.70
    izoph
    -0.70
    ãĥ£
    -0.69
    iques
    -0.68
    markets
    -0.68
    runner
    -0.66
    POSITIVE LOGITS
    lde
    1.08
    anwhile
    1.03
    lda
    0.87
    llan
    0.86
    gger
    0.84
    cki
    0.80
    ktop
    0.78
    ansen
    0.78
    chal
    0.77
    irs
    0.77
    Activations Density 0.037%

    No Known Activations