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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. 6682
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    Explanations

    words related to challenge, controversy, or provocation

    oai_token-act-pair · gpt-3.5-turbo

    words related to provocation or proof

    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
     Rite
    -0.75
    Pie
    -0.72
    Focus
    -0.71
    geist
    -0.70
    Reloaded
    -0.69
     Eclipse
    -0.69
     Focus
    -0.69
    mare
    -0.66
     Halls
    -0.63
    Stand
    -0.63
    POSITIVE LOGITS
    idence
    1.17
    idential
    1.11
    idences
    1.11
    idently
    1.10
     prov
    1.07
    ably
    1.05
    okes
    0.99
    uitous
    0.95
    ises
    0.93
    irus
    0.93
    Activations Density 0.009%

    No Known Activations