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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. 5518
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    Explanations

    percentages in text

    oai_token-act-pair · gpt-3.5-turbo

    percentages related to data or statistics

    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
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    No Comments

    Negative Logits
    beit
    -0.60
    flies
    -0.58
     matt
    -0.58
    zek
    -0.58
    rums
    -0.57
    stru
    -0.57
    ãĤ©
    -0.57
    worldly
    -0.56
    Keys
    -0.56
     thous
    -0.55
    POSITIVE LOGITS
    +.
    0.94
     ABV
    0.94
    +)
    0.89
    +,
    0.81
    xual
    0.79
    -+
    0.75
    +
    0.74
     chance
    0.73
     humidity
    0.70
    ==
    0.70
    Activations Density 0.059%

    No Known Activations