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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. 7179
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    Explanations

    sentences warning against drinking too much alcohol

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks indicating sentence endings

    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
     enthusi
    -0.73
     tom
    -0.68
     buggy
    -0.67
    itiz
    -0.66
     shells
    -0.64
     battered
    -0.63
     Mous
    -0.63
     Explorer
    -0.62
     clos
    -0.62
     bun
    -0.61
    POSITIVE LOGITS
    70710
    0.98
    125
    0.98
    0
    0.95
    025
    0.94
    05
    0.94
    03
    0.92
    75
    0.91
    02
    0.91
    25
    0.91
    003
    0.90
    Activations Density 0.049%

    No Known Activations