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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. 2576
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    conditional or qualifying phrases related to legal and regulatory 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
    rolet
    -0.76
    elta
    -0.76
    lez
    -0.72
    ivot
    -0.71
    Tomorrow
    -0.70
     Anyway
    -0.70
    Anyway
    -0.69
    Hopefully
    -0.68
     Clicker
    -0.67
    aven
    -0.67
    POSITIVE LOGITS
     there
    1.13
     they
    1.05
    soever
    0.97
     practicable
    0.95
     applicable
    0.94
     recipients
    0.90
     accompanied
    0.89
    upon
    0.88
     appropriate
    0.88
     feasible
    0.88
    Activations Density 0.208%

    No Known Activations