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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. 12-RES-JB
    11. 2365
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    INDEX
    Explanations

    certainty or strong emphasis in the text

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    emphatic expressions of certainty or assurance

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    awaru
    -0.80
    oru
    -0.80
    ingly
    -0.77
    glers
    -0.76
    sole
    -0.75
    entary
    -0.73
    ogether
    -0.73
    anwhile
    -0.72
    regate
    -0.72
    atem
    -0.71
    POSITIVE LOGITS
     not
    0.81
     qualifies
    0.81
     deserving
    0.77
     wasn
    0.76
     preferable
    0.76
     influenced
    0.73
     NOT
    0.72
     audible
    0.71
     recognizable
    0.71
     identifiable
    0.71
    Activations Density 0.112%

    No Known Activations