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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 17543
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    Negative Logits
     pains
    -0.73
    itives
    -0.70
    hement
    -0.68
    isable
    -0.66
    SpaceEngineers
    -0.63
    shire
    -0.62
    ickets
    -0.61
    ptions
    -0.61
    vation
    -0.59
    ioxide
    -0.59
    POSITIVE LOGITS
    akuya
    0.86
     virtue
    0.81
     contrast
    0.79
    catch
    0.75
    cloneembedreportprint
    0.71
     implication
    0.69
    pass
    0.69
    stand
    0.68
     clicking
    0.64
    product
    0.62
    Activations Density 0.023%

    No Known Activations