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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. 8909
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    Explanations

    words or phrases indicating a specific time or place where a story is set

    oai_token-act-pair · gpt-3.5-turbo

    references to the setting of various stories

    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
    outh
    -0.72
    vernment
    -0.71
    icht
    -0.70
    cess
    -0.67
     ende
    -0.64
    ãģķ
    -0.64
    ockey
    -0.62
     wisdom
    -0.61
     Curve
    -0.60
    ãĤĭ
    -0.59
    POSITIVE LOGITS
    ropolis
    0.83
     aboard
    0.80
    opsis
    0.75
     abl
    0.73
    igating
    0.72
     chron
    0.72
    TING
    0.72
    rated
    0.71
    Credits
    0.71
     atop
    0.69
    Activations Density 0.062%

    No Known Activations