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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. 10-RES-JB
    11. 1041
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal or regulatory concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utenberg
    -0.79
    maxwell
    -0.71
    anmar
    -0.66
    AppData
    -0.65
    escription
    -0.64
    psey
    -0.62
    redients
    -0.62
    ĸļ
    -0.62
    }{
    -0.61
    ahime
    -0.61
    POSITIVE LOGITS
     whatsoever
    1.99
     imaginable
    1.46
    soever
    1.37
     conceivable
    1.21
     anywhere
    1.01
     except
    0.98
     EVER
    0.91
     ever
    0.84
     slightest
    0.84
     or
    0.82
    Activations Density 0.203%

    No Known Activations