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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. 8-RES-JB
    11. 2394
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    Explanations

    contrasts and differences between various subjects

    oai_token-act-pair · gpt-3.5-turbo

    contrasts between different concepts or scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Accessed
    -0.74
    isin
    -0.72
    mail
    -0.69
    tip
    -0.66
    culosis
    -0.65
    pass
    -0.64
    )].
    -0.63
    horn
    -0.63
     NOTE
    -0.61
    Tickets
    -0.61
    POSITIVE LOGITS
     usual
    0.99
     typical
    0.99
     stereotypical
    0.88
     norm
    0.86
     realities
    0.86
    typ
    0.83
     traditional
    0.82
    ¥µ
    0.80
    usual
    0.77
    ²¾
    0.77
    Activations Density 0.387%

    No Known Activations