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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. 11-RES-JB
    11. 12760
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    INDEX
    Explanations

    pieces or parts of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases referencing specific pieces of information or evidence

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ivals
    -0.84
    rils
    -0.83
    runners
    -0.82
    uations
    -0.82
    flows
    -0.81
     GOODMAN
    -0.81
    ples
    -0.80
    ancies
    -0.79
    hunt
    -0.79
    few
    -0.79
    POSITIVE LOGITS
     legislation
    1.04
     equipment
    1.01
     advice
    0.97
     furniture
    0.96
     trivia
    0.96
     paper
    0.96
     cake
    0.96
     cloth
    0.94
     scenery
    0.93
     machinery
    0.93
    Activations Density 0.073%

    No Known Activations