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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. 4-RES-JB
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    Explanations

    proper names, specifically names related to sports and politics

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly "Fernando" and "Griffith."

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

    No Comments

    Negative Logits
    chool
    -0.89
    arily
    -0.88
    ership
    -0.84
    hof
    -0.77
    Kids
    -0.76
    ppelin
    -0.75
    myra
    -0.73
    ukong
    -0.72
    brates
    -0.70
    earth
    -0.70
    POSITIVE LOGITS
    senal
    0.68
    vernment
    0.66
    sky
    0.66
    osate
    0.66
    cffff
    0.65
    reys
    0.64
    ruit
    0.63
     bour
    0.63
    govtrack
    0.63
    avorite
    0.62
    Activations Density 0.024%

    No Known Activations