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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. 1762
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    Explanations

    mentions of the word "main" in the context of different topics or subjects

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the primary characters in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    uracy
    -0.71
    ocene
    -0.66
    utes
    -0.66
    OPE
    -0.64
    âķIJâķIJ
    -0.64
     Presents
    -0.62
    AUT
    -0.61
    Invalid
    -0.60
     Remastered
    -0.59
    each
    -0.59
    POSITIVE LOGITS
    stay
    1.65
    tenance
    1.35
    frame
    1.18
    deck
    1.08
    stream
    1.04
     artery
    1.01
     arteries
    0.99
    frames
    0.95
     culprit
    0.91
    mast
    0.91
    Activations Density 0.028%

    No Known Activations