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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. 10466
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    Explanations

    phrases indicating a conclusion or result

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating finality or conclusion

    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
    Not in Any Lists

    No Comments

    Negative Logits
    RN
    -0.89
    RNA
    -0.71
     Previously
    -0.70
     formerly
    -0.67
    pread
    -0.67
     Recently
    -0.66
     Ships
    -0.66
     previously
    -0.64
    known
    -0.63
    pload
    -0.63
    POSITIVE LOGITS
     deciding
    0.84
     ultimately
    0.74
    Ultimately
    0.71
     boils
    0.70
     depends
    0.68
     neither
    0.68
     decided
    0.67
     outcome
    0.66
     meaningless
    0.66
     prevailed
    0.66
    Activations Density 0.055%

    No Known Activations