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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. 8-RES-JB
    11. 1896
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    Explanations

    themes related to audio-visual (AV) technology and media

    oai_token-act-pair · gpt-3.5-turbo

    references to audiovisual media and related entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ters
    -0.85
    coat
    -0.82
    shirt
    -0.81
    cloth
    -0.78
    bow
    -0.78
    border
    -0.77
    mens
    -0.76
    econom
    -0.76
    pr
    -0.75
    beer
    -0.75
    POSITIVE LOGITS
    iolet
    0.81
    illa
    0.76
    iliary
    0.74
    icular
    0.74
    ansk
    0.73
    ibles
    0.71
    atform
    0.69
    ication
    0.69
    irus
    0.68
    illary
    0.68
    Activations Density 0.100%

    No Known Activations