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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. 10-RES-JB
    11. 16310
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    Explanations

    phrases indicating evidence or demonstration

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating evidence or demonstration of a point

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     livest
    -0.73
    enium
    -0.71
    ascus
    -0.70
    76561
    -0.69
    assic
    -0.69
    efer
    -0.68
    quer
    -0.66
    scribe
    -0.66
    ograp
    -0.66
    rol
    -0.66
    POSITIVE LOGITS
     how
    1.22
     why
    1.13
     plainly
    0.86
     maturity
    0.82
    how
    0.81
     unequivocally
    0.80
    why
    0.79
     otherwise
    0.79
     incompetence
    0.79
     clearly
    0.78
    Activations Density 0.105%

    No Known Activations