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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. 3-RES-JB
    11. 7205
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    Explanations

    numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numerical references and years, particularly related to statistics or ratings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igators
    -0.74
    alties
    -0.70
    mble
    -0.69
    ications
    -0.69
    igent
    -0.69
    uyomi
    -0.68
    ition
    -0.68
    icularly
    -0.68
    ngth
    -0.67
    ience
    -0.67
    POSITIVE LOGITS
    09
    1.10
    059
    1.05
    07
    1.03
    08
    1.02
    05
    1.01
    06
    0.99
    04
    0.98
    089
    0.97
    03
    0.95
    090
    0.94
    Activations Density 0.043%

    No Known Activations