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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. 8-RES-JB
    11. 1867
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    INDEX
    Explanations

    mentions of rising or increasing values or percentages

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rising trends or increases in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tta
    -0.77
    sol
    -0.74
    ãĥīãĥ©
    -0.68
    psc
    -0.67
    mia
    -0.67
     sar
    -0.66
    search
    -0.66
    minecraft
    -0.66
    zan
    -0.66
    earable
    -0.65
    POSITIVE LOGITS
     dramatically
    1.11
     sharply
    1.09
     substantially
    1.07
     steadily
    1.05
     considerably
    1.05
     exponentially
    1.04
     markedly
    1.01
     enormously
    1.00
     significantly
    0.98
     tremendously
    0.95
    Activations Density 0.093%

    No Known Activations