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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. 1699
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    Explanations

    phrases indicating a call for action or change

    oai_token-act-pair · gpt-3.5-turbo

    expressions of limitation or requests for more

    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
    ensable
    -1.00
    orthy
    -0.89
    onent
    -0.88
    elled
    -0.85
    endant
    -0.85
    ISTER
    -0.83
    redit
    -0.83
    identified
    -0.82
    emale
    -0.81
    enario
    -0.80
    POSITIVE LOGITS
     hugs
    1.00
     selfies
    0.94
     excuses
    0.93
     jokes
    0.89
     patience
    0.88
     sweets
    0.85
     panic
    0.84
     snacks
    0.84
     whining
    0.84
     surprises
    0.84
    Activations Density 0.767%

    No Known Activations