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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. 15051
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    Explanations

    phrases related to comments and statements made by various individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to significant reports or calls to action

    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
    Not in Any Lists

    No Comments

    Negative Logits
    )--
    -0.69
    ').
    -0.65
    ?'
    -0.64
    .--
    -0.63
    !'
    -0.62
    ,'"
    -0.60
    ?),
    -0.60
    ?'"
    -0.59
    .'"
    -0.59
    .'
    -0.59
    POSITIVE LOGITS
     anecd
    0.72
     "[
    0.64
    ¬¼
    0.63
     "
    0.61
    wcs
    0.60
     "âĢ¦
    0.60
     "#
    0.59
     underestimated
    0.57
     "...
    0.57
     underestimate
    0.57
    Activations Density 1.526%

    No Known Activations