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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. 8-RES-JB
    11. 11983
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    INDEX
    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals or entities in a context related to discussion or commentary

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dealing
    -0.70
     proving
    -0.70
     costing
    -0.67
     1600
    -0.66
     reserves
    -0.66
     Rebels
    -0.64
     following
    -0.64
     renamed
    -0.64
     bottleneck
    -0.63
     loser
    -0.62
    POSITIVE LOGITS
    FI
    1.10
    VA
    1.03
    ANN
    0.99
    ISA
    0.99
    ZA
    0.97
    aley
    0.96
    assi
    0.96
    elli
    0.96
    uy
    0.96
    GN
    0.96
    Activations Density 0.195%

    No Known Activations