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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. 7-RES-JB
    11. 8870
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    Explanations

    questions related to current events or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that inquire about ongoing situations or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ritical
    -0.80
    serv
    -0.73
    ply
    -0.72
    prise
    -0.70
     dove
    -0.68
    irl
    -0.68
    POR
    -0.68
    grand
    -0.66
    attery
    -0.65
    onso
    -0.65
    POSITIVE LOGITS
     unfolding
    0.84
     inside
    0.77
    inside
    0.76
     behind
    0.75
     Archdemon
    0.73
     unfold
    0.73
     underneath
    0.70
     offensively
    0.70
    abouts
    0.69
    between
    0.69
    Activations Density 0.031%

    No Known Activations