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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. 3-RES-JB
    11. 5358
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    lling
    -0.78
    lli
    -0.73
    ndra
    -0.73
    cussion
    -0.68
    instein
    -0.68
    hiba
    -0.67
    thening
    -0.66
    udge
    -0.65
    zzi
    -0.64
    tto
    -0.64
    POSITIVE LOGITS
    itect
    1.54
    arch
    1.08
    ipel
    0.94
    ief
    0.93
    arist
    0.89
    opoulos
    0.86
    osaurs
    0.85
    ivist
    0.84
    ival
    0.78
    archy
    0.76
    Activations Density 0.009%

    No Known Activations