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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. 11-RES-JB
    11. 11666
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    Explanations

    phrases related to data analysis and information interpretation

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical or evaluative criteria in relation to data and its implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    VC
    -0.79
    MRI
    -0.74
    ramids
    -0.66
    Mario
    -0.65
    ukemia
    -0.65
    NBC
    -0.65
    GM
    -0.64
    \\\\\\\\\\\\\\\\
    -0.64
    liv
    -0.63
    Discussion
    -0.61
    POSITIVE LOGITS
     Dare
    0.87
     iT
    0.85
     Anon
    0.82
     Constantin
    0.77
     Ago
    0.76
     coh
    0.74
     IST
    0.72
     pse
    0.72
     Ä
    0.70
     apr
    0.70
    Activations Density 0.821%

    No Known Activations