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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. 4501
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    Explanations

    words related to television programming or entertainment, particularly focusing on prime time broadcasting

    oai_token-act-pair · gpt-3.5-turbo

    terms related to primetime broadcast events

    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
    Not in Any Lists

    No Comments

    Negative Logits
    essee
    -0.81
    udeb
    -0.79
    oras
    -0.74
     Vog
    -0.74
    ventus
    -0.74
    cart
    -0.73
    Tags
    -0.72
    iant
    -0.71
    artisan
    -0.71
    otle
    -0.70
    POSITIVE LOGITS
    theless
    1.07
    etime
    0.90
    entimes
    0.81
    nown
    0.79
     msec
    0.76
    pter
    0.72
    peak
    0.72
     ago
    0.69
     Pradesh
    0.68
     broadcasts
    0.67
    Activations Density 0.017%

    No Known Activations