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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. 2-RES-JB
    11. 14946
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    Explanations

    quotations within sentences

    oai_token-act-pair · gpt-3.5-turbo

    quotations or dialogue within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     drown
    -0.70
     bracket
    -0.70
     favor
    -0.69
     bashing
    -0.69
     litter
    -0.68
     periodic
    -0.68
     tram
    -0.67
     footing
    -0.67
     schedule
    -0.66
     sympath
    -0.65
    POSITIVE LOGITS
    We
    1.02
    I
    0.97
    It
    0.94
    Never
    0.92
    Really
    0.90
    Our
    0.89
    Because
    0.89
    Anything
    0.89
    Ku
    0.88
    Very
    0.88
    Activations Density 0.171%

    No Known Activations