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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. 17866
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    Explanations

    references to visiting or visitors

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "visit" 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
    starter
    -0.69
    FT
    -0.62
    rd
    -0.61
     wiser
    -0.60
     LOVE
    -0.60
    raught
    -0.59
    avanaugh
    -0.59
    ģĸ
    -0.58
    weak
    -0.57
    AUT
    -0.56
    POSITIVE LOGITS
    ibility
    1.29
    itors
    1.15
    itor
    1.11
    ibly
    1.03
    iting
    1.00
    cer
    0.98
    itation
    0.97
    UAL
    0.97
    ually
    0.93
    ibilities
    0.91
    Activations Density 0.049%

    No Known Activations