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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. 4225
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    Explanations

    adverbs related to frequency or normality

    oai_token-act-pair · gpt-3.5-turbo

    expressions of typicality or usual behavior

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Kut
    -0.73
     Ing
    -0.67
     Mek
    -0.65
     Kush
    -0.64
     Crusade
    -0.64
     populism
    -0.63
     Kro
    -0.63
    wark
    -0.62
    Angelo
    -0.62
     Muse
    -0.62
    POSITIVE LOGITS
     disclaim
    0.91
    pmwiki
    0.82
    llular
    0.79
     suspects
    0.78
    igslist
    0.75
    entimes
    0.74
     inclined
    0.72
     frowned
    0.71
     distingu
    0.71
    etheless
    0.69
    Activations Density 0.036%

    No Known Activations