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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. 6-RES-JB
    11. 479
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    Explanations

    phrases related to lack of knowledge or information

    oai_token-act-pair · gpt-3.5-turbo

    expressions of a lack of knowledge or understanding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    inka
    -0.80
    cedes
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    pu
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    conn
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    vertisement
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    visor
    -0.67
    andise
    -0.64
    comb
    -0.64
    DF
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    die
    -0.64
    POSITIVE LOGITS
     whatsoever
    0.99
    ariat
    0.78
     how
    0.77
     squat
    0.74
     guessing
    0.73
     ABOUT
    0.71
     why
    0.70
    ledged
    0.70
     whats
    0.68
     guesses
    0.67
    Activations Density 0.018%

    No Known Activations