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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. 14997
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    Explanations

    phrases related to performance and success

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to performance evaluation and capability

    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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    Negative Logits
    sonian
    -0.78
    etus
    -0.70
    uthor
    -0.68
     consent
    -0.68
    ymes
    -0.67
    quin
    -0.67
    enez
    -0.67
    lance
    -0.65
     insign
    -0.64
    reon
    -0.64
    POSITIVE LOGITS
     regards
    0.77
     regard
    0.75
    roads
    0.74
    ahime
    0.73
     handling
    0.66
     quieter
    0.66
     adversity
    0.65
    ãĤ®
    0.65
     practice
    0.63
     spite
    0.63
    Activations Density 0.342%

    No Known Activations