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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. 4-RES-JB
    11. 11011
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    Explanations

    mentions of specific names like "Clement" and "Rudolph"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Clement" and related terms

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

    No Comments

    Negative Logits
    KK
    -0.78
    awar
    -0.76
    #$
    -0.74
    berman
    -0.70
    merce
    -0.70
    trak
    -0.69
    multipl
    -0.69
    FN
    -0.68
    FILE
    -0.68
    ggle
    -0.67
    POSITIVE LOGITS
    ine
    0.87
    angelo
    0.84
    enary
    0.80
    ial
    0.78
     Clement
    0.78
    obal
    0.74
    icle
    0.73
    ré
    0.73
    icles
    0.72
     desserts
    0.71
    Activations Density 0.010%

    No Known Activations