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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. 4707
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    Explanations

    words related to problems, concerns, and issues

    oai_token-act-pair · gpt-3.5-turbo

    terms that indicate problems or concerns

    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
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    Negative Logits
    ocally
    -0.75
    ©¶æ
    -0.75
    orks
    -0.74
    ancies
    -0.74
    azines
    -0.74
    apons
    -0.73
    ramids
    -0.73
    rity
    -0.72
    ravings
    -0.71
    ynthesis
    -0.70
    POSITIVE LOGITS
     breaker
    1.00
     for
    0.92
     deterrent
    0.88
     unto
    0.82
     unless
    0.81
     multiplier
    0.81
     because
    0.81
     disadvant
    0.79
     compared
    0.79
     considering
    0.78
    Activations Density 0.141%

    No Known Activations