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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. 11-RES-JB
    11. 16300
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    INDEX
    Explanations

    mentions of specific individuals, locations, or organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and organizational references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omething
    -0.62
    ©¶æ
    -0.61
    named
    -0.60
    ystem
    -0.59
    ometimes
    -0.59
    pring
    -0.57
    actionDate
    -0.56
    terday
    -0.56
    ":""},{"
    -0.55
    OHN
    -0.55
    POSITIVE LOGITS
    's
    1.60
    ÃŃs
    1.08
    ´
    0.96
    .
    0.95
    .'
    0.94
    .[
    0.91
    '.
    0.90
    +.
    0.89
    \'
    0.82
    ."
    0.82
    Activations Density 0.793%

    No Known Activations