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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. 3990
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    INDEX
    Explanations

    phrases related to indirect effects or connections

    oai_token-act-pair · gpt-3.5-turbo

    references to indirect effects or impacts

    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
    erk
    -0.88
    CENT
    -0.82
    imen
    -0.81
    ciating
    -0.78
    士
    -0.75
    avers
    -0.67
    uster
    -0.67
    ingers
    -0.66
    ikers
    -0.66
    umbnail
    -0.66
    POSITIVE LOGITS
     indirectly
    0.97
     indirect
    0.92
     sensing
    0.79
     sidel
    0.74
     subsid
    0.74
     coupling
    0.71
    repre
    0.71
     gearing
    0.70
     reven
    0.68
     affili
    0.67
    Activations Density 0.013%

    No Known Activations