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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. 6-RES-JB
    11. 7278
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    INDEX
    Explanations

    numerical values and measurement units

    oai_token-act-pair · gpt-3.5-turbo

    statistical data, particularly related to confidence intervals and significant differences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tags
    -0.69
    ongh
    -0.67
    angible
    -0.65
    arbon
    -0.65
    gra
    -0.64
    Upgrade
    -0.63
    ongs
    -0.63
     Amateur
    -0.62
     bumper
    -0.62
    Bul
    -0.61
    POSITIVE LOGITS
     âĪĴ
    0.83
     âĪ¼
    0.83
     ).
    0.80
    %).
    0.80
     Figure
    0.76
     ),
    0.74
    %),
    0.74
     ±
    0.73
    )].
    0.73
    Figure
    0.72
    Activations Density 0.118%

    No Known Activations