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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. 6-RES-JB
    11. 9621
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    INDEX
    Explanations

    periods in a text

    oai_token-act-pair · gpt-3.5-turbo

    the presence of statements or quotes attributed to individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     mosqu
    -0.81
     cradle
    -0.71
     transact
    -0.69
     remnant
    -0.69
     utter
    -0.66
     acknowledgement
    -0.64
    idon
    -0.64
     adulthood
    -0.63
     fleeting
    -0.63
     killers
    -0.62
    POSITIVE LOGITS
    lua
    0.89
     [+
    0.87
    debian
    0.85
    esp
    0.81
    org
    0.80
     Unloaded
    0.79
    np
    0.79
    ajor
    0.75
    jpg
    0.74
     Retrieved
    0.74
    Activations Density 0.167%

    No Known Activations