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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. 5052
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    Explanations

    phrases related to strong actions or contributions by individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to throwing or putting oneself into situations

    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
    SHIP
    -0.81
    TOP
    -0.79
    Developer
    -0.74
    SET
    -0.71
    Administ
    -0.70
    ÃŁ
    -0.69
    ãĢij
    -0.67
    Merit
    -0.66
    Upload
    -0.64
     Laur
    -0.64
    POSITIVE LOGITS
     overboard
    1.20
     tant
    1.09
     grenades
    1.01
     towel
    0.91
     punches
    0.88
     wrench
    0.84
     grenade
    0.83
     darts
    0.82
     onto
    0.81
     curve
    0.76
    Activations Density 0.157%

    No Known Activations