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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. 23985
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    Explanations

    words related to actions or consequences

    oai_token-act-pair · gpt-3.5-turbo

    action words related to causes or effects of events

    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
    enos
    -0.65
    atever
    -0.62
    POSE
    -0.62
    xes
    -0.61
    EEK
    -0.61
    vis
    -0.60
    MED
    -0.60
    MAT
    -0.59
    Forest
    -0.58
    weather
    -0.58
    POSITIVE LOGITS
     by
    1.14
     aback
    0.99
     BY
    0.79
     herein
    0.76
     prominently
    0.71
     By
    0.70
    By
    0.68
     )]
    0.67
     therein
    0.67
    by
    0.66
    Activations Density 0.444%

    No Known Activations