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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. 11-RES-JB
    11. 22245
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    Explanations

    action words related to exploration or delving deeper into a subject

    oai_token-act-pair · gpt-3.5-turbo

    references to the action of diving or exploring in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arrell
    -0.66
     shortened
    -0.61
    orate
    -0.60
    udeb
    -0.58
    ERN
    -0.58
     Demand
    -0.55
     Municipal
    -0.53
    Same
    -0.53
    pport
    -0.53
    version
    -0.52
    POSITIVE LOGITS
     into
    1.08
     onto
    1.07
     INTO
    0.99
     ashore
    0.95
     aboard
    0.92
     deeper
    0.92
     Into
    0.88
     onstage
    0.87
     confidently
    0.85
     blindly
    0.83
    Activations Density 0.116%

    No Known Activations