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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. 8282
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    Explanations

    mentions of positive attributes or conditions like "decent", "respectable", or "reasonable"

    oai_token-act-pair · gpt-3.5-turbo

    the term "decent," often in the context of quality or standard

    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
    sten
    -0.78
    phase
    -0.66
    wrong
    -0.64
    unta
    -0.63
    gans
    -0.62
    central
    -0.61
    cart
    -0.61
     unilaterally
    -0.61
     passionately
    -0.60
     compuls
    -0.60
    POSITIVE LOGITS
     sized
    1.26
     enough
    1.00
    enough
    0.97
     chunk
    0.85
    erate
    0.81
     amount
    0.79
     Enough
    0.77
    ufact
    0.77
     decent
    0.76
    ally
    0.76
    Activations Density 0.083%

    No Known Activations