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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. 3080
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    Explanations

    dates and locations mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    parentheses in the text

    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
     artisan
    -0.82
     intensive
    -0.78
     intelligent
    -0.70
     lull
    -0.69
     wre
    -0.69
     incons
    -0.68
     Gutenberg
    -0.68
     glare
    -0.67
     flock
    -0.66
     piping
    -0.66
    POSITIVE LOGITS
    pictured
    1.37
    sic
    1.34
    see
    1.32
    albeit
    1.27
    including
    1.25
    emphasis
    1.25
    although
    1.23
    which
    1.21
    via
    1.19
    though
    1.19
    Activations Density 0.181%

    No Known Activations