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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. 9-RES-JB
    11. 8683
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    INDEX
    Explanations

    statistical data and figures presented in a structured format

    oai_token-act-pair · gpt-3.5-turbo

    sentence starters or transitional phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     invention
    -0.67
     reson
    -0.63
     itching
    -0.61
     morp
    -0.61
     endlessly
    -0.61
     boo
    -0.60
     preacher
    -0.60
     Malf
    -0.59
     Unable
    -0.59
    ody
    -0.59
    POSITIVE LOGITS
     comparison
    1.41
     contrast
    1.15
    verages
    1.12
     adjusted
    1.05
    Ranked
    1.04
    flation
    1.04
    adjusted
    1.02
     Adjusted
    0.97
    juries
    0.97
     total
    0.97
    Activations Density 0.227%

    No Known Activations