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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. 7-RES-JB
    11. 12482
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    INDEX
    Explanations

    mentions of live events or broadcasts

    oai_token-act-pair · gpt-3.5-turbo

    references to live performances or broadcasts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cientious
    -0.86
    INTON
    -0.84
    heses
    -0.84
    essee
    -0.81
    umbs
    -0.80
    ucket
    -0.78
    aneers
    -0.76
    ophical
    -0.76
    xual
    -0.75
    ippi
    -0.74
    POSITIVE LOGITS
    lihood
    1.10
     streaming
    0.88
     births
    0.86
    lier
    0.83
    liest
    0.81
    journal
    0.80
     broadcast
    0.80
     streamed
    0.79
    liness
    0.79
     feed
    0.78
    Activations Density 0.029%

    No Known Activations