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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. 9-RES-JB
    11. 24070
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    Explanations

    words related to screens or displays

    oai_token-act-pair · gpt-3.5-turbo

    parts of the body and concepts related to facial and body features

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    IUM
    -0.67
     iT
    -0.65
    uary
    -0.63
     Pharmaceutical
    -0.62
     Emerald
    -0.60
     Consumers
    -0.59
    ynt
    -0.59
    merce
    -0.58
    enance
    -0.58
     Suc
    -0.58
    POSITIVE LOGITS
    wash
    0.99
    grab
    0.89
    shots
    0.89
    length
    0.89
    breakers
    0.86
    less
    0.85
    warm
    0.84
    hand
    0.83
    loads
    0.82
    shake
    0.81
    Activations Density 0.256%

    No Known Activations