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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. 11440
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    Explanations

    the word "lots" followed by various other words

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "lots."

    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
    issance
    -0.68
    heid
    -0.65
     Advocate
    -0.63
    ensis
    -0.62
    robe
    -0.59
    Journal
    -0.56
    ANI
    -0.56
    oute
    -0.56
     Investigations
    -0.56
     ethos
    -0.55
    POSITIVE LOGITS
     of
    0.90
    ourcing
    0.86
    poons
    0.86
    paces
    0.86
     thereof
    0.85
    pread
    0.84
    entimes
    0.83
    ãĤ§
    0.83
    ynthesis
    0.76
    chool
    0.76
    Activations Density 0.036%

    No Known Activations