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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. 6139
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    INDEX
    Explanations

    references to personal experiences and memories

    oai_token-act-pair · gpt-3.5-turbo

    expressions of excitement or enthusiasm

    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
    conference
    -0.81
    izons
    -0.78
    ylum
    -0.78
    ettlement
    -0.76
    marg
    -0.73
    zbollah
    -0.73
    ourgeois
    -0.73
    olitical
    -0.72
    vernment
    -0.72
    ileaks
    -0.72
    POSITIVE LOGITS
     memor
    0.86
     perfected
    0.85
     genius
    0.82
     Doodle
    0.81
     motto
    0.74
     legendary
    0.74
     perfection
    0.73
     humming
    0.72
     knack
    0.72
     rhyth
    0.71
    Activations Density 0.788%

    No Known Activations