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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. 4-RES-JB
    11. 15830
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    Explanations

    statements introducing subsequent content

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "following."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cest
    -0.79
    uca
    -0.73
    hya
    -0.70
    ono
    -0.68
    bos
    -0.68
    UGC
    -0.68
    aus
    -0.67
    obyl
    -0.67
    cci
    -0.66
    zona
    -0.65
    POSITIVE LOGITS
     excerpt
    0.69
     sequence
    0.68
     sections
    0.68
     week
    0.67
     weeks
    0.66
     follows
    0.65
     schedule
    0.65
     manner
    0.65
     subsections
    0.64
     quo
    0.64
    Activations Density 0.020%

    No Known Activations