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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. 9-RES-JB
    11. 5465
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    Explanations

    action or movement-related words, especially those related to running

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to movement or running

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dermat
    -0.62
     disposable
    -0.60
     contingency
    -0.59
    TB
    -0.56
     departments
    -0.55
    Ranked
    -0.55
     deal
    -0.55
     presentations
    -0.54
     availability
    -0.54
     rosters
    -0.53
    POSITIVE LOGITS
     toward
    1.19
     towards
    1.17
     downhill
    1.11
     away
    1.04
     uphill
    1.03
     west
    0.99
     farther
    0.97
     north
    0.95
    east
    0.95
     perpendicular
    0.93
    Activations Density 0.164%

    No Known Activations