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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
    11. 1548
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    Explanations

    terms related to bulk quantity or large volume

    oai_token-act-pair · gpt-3.5-turbo

    references to bulk collection or purchasing

    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
     Enemies
    -0.65
     Children
    -0.65
    orio
    -0.64
    LV
    -0.64
     Schools
    -0.63
    Pri
    -0.62
    pires
    -0.62
     Citizens
    -0.61
     Judges
    -0.61
     Apostles
    -0.60
    POSITIVE LOGITS
     bulk
    0.85
    heads
    0.85
    efully
    0.75
    haul
    0.74
    iest
    0.73
    ascript
    0.71
    azo
    0.70
    achusetts
    0.69
     Leth
    0.68
    ier
    0.68
    Activations Density 0.015%

    No Known Activations