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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. 8014
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    INDEX
    Explanations

    phrases expressing attempts or actions that were unsuccessful

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs indicating possibility or hypothetical situations

    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
    WHERE
    -0.63
     Independence
    -0.61
     JO
    -0.53
     Boone
    -0.52
     honors
    -0.52
    anders
    -0.52
     Ramsey
    -0.52
     Skydragon
    -0.51
     UD
    -0.51
    Ĥª
    -0.50
    POSITIVE LOGITS
    WARN
    0.74
     mistake
    0.66
    alys
    0.63
    yout
    0.60
    neum
    0.59
    nes
    0.59
    ocrin
    0.58
    orrect
    0.58
    ribly
    0.57
    ataka
    0.56
    Activations Density 0.015%

    No Known Activations