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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. 2-RES-JB
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    Explanations

    mentions of a specific sports team, the Cincinnati Bearcats

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Bear."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    unal
    -0.84
    ournal
    -0.81
    arcer
    -0.80
    istry
    -0.79
    anwhile
    -0.75
    employment
    -0.72
    soc
    -0.72
    arta
    -0.69
    ADRA
    -0.69
    ugu
    -0.68
    POSITIVE LOGITS
     Bear
    1.18
    bear
    1.07
     Bears
    1.00
    chet
    0.96
    Bear
    0.96
    cats
    0.92
    cone
    0.90
     Traps
    0.90
    beit
    0.88
    claw
    0.84
    Activations Density 0.009%

    No Known Activations