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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. 23461
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    INDEX
    Explanations

    references to political or government-related entities

    oai_token-act-pair · gpt-3.5-turbo

    sentences, particularly those that convey conclusions or statements

    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
     misunder
    -0.70
     differing
    -0.69
     thous
    -0.67
     varying
    -0.66
     however
    -0.65
    abouts
    -0.65
     condem
    -0.65
     generally
    -0.63
     util
    -0.63
     alot
    -0.62
    POSITIVE LOGITS
    <|endoftext|>
    1.17
    ↵
    0.99
     Written
    0.94
     Worse
    0.91
     And
    0.87
     Related
    0.86
     Drawing
    0.85
     Absent
    0.84
     Ultimately
    0.84
     Without
    0.83
    Activations Density 0.602%

    No Known Activations