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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. 10-RES-JB
    11. 11566
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    Explanations

    strong emphasis on words within apostrophes

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the apostrophe

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rador
    -0.59
    asma
    -0.59
    manship
    -0.58
     reconciliation
    -0.58
     Pru
    -0.57
     answ
    -0.57
     fundamentals
    -0.57
    asing
    -0.56
    İĭ
    -0.55
     bonds
    -0.55
    POSITIVE LOGITS
    Cause
    0.97
    Allah
    0.89
    Mech
    0.78
    Em
    0.77
    S
    0.77
    Angelo
    0.72
    ead
    0.72
    Brien
    0.72
    thur
    0.71
    uese
    0.71
    Activations Density 0.046%

    No Known Activations