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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. 17473
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    INDEX
    Explanations

    words related to financial transactions or deals

    oai_token-act-pair · gpt-3.5-turbo

    negative phrases or statements

    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
     Timbers
    -0.75
     Queens
    -0.75
     Bullets
    -0.73
     Shaw
    -0.72
     Krishna
    -0.68
     Stars
    -0.68
     Howe
    -0.67
     hooks
    -0.66
     Spike
    -0.66
     Sharks
    -0.66
    POSITIVE LOGITS
    sounding
    1.23
    minded
    1.18
    looking
    1.17
    edition
    1.14
    level
    1.11
    purpose
    1.10
    mid
    1.07
    duty
    1.05
    grade
    1.05
    strength
    1.05
    Activations Density 0.090%

    No Known Activations