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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. 3549
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    Explanations

    numbers separated by commas

    oai_token-act-pair · gpt-3.5-turbo

    numeric representations or sequences

    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
    heit
    -0.73
    earable
    -0.69
    Reloaded
    -0.63
    Creat
    -0.63
    arians
    -0.62
    assets
    -0.60
    ktop
    -0.60
    vik
    -0.60
    TPPStreamerBot
    -0.60
    Versions
    -0.58
    POSITIVE LOGITS
     istg
    0.93
     respectively
    0.88
    ,...
    0.84
    +.
    0.74
    +,
    0.71
     inclusive
    0.63
     etc
    0.62
     NRS
    0.62
    henko
    0.61
    anium
    0.60
    Activations Density 0.064%

    No Known Activations