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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. 20056
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating lack of knowledge or inability

    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
    forcement
    -0.80
    wark
    -0.76
    soType
    -0.75
     Slam
    -0.70
     Suggest
    -0.70
    ramid
    -0.67
    inventoryQuantity
    -0.66
    roo
    -0.66
     Archive
    -0.64
     Moments
    -0.64
    POSITIVE LOGITS
     bothered
    0.89
     attend
    0.84
    hin
    0.84
     attending
    0.83
     inclined
    0.81
     minded
    0.81
     qualify
    0.80
     know
    0.80
     necessarily
    0.80
     agree
    0.80
    Activations Density 0.278%

    No Known Activations