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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. 6-RES-JB
    11. 18724
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    INDEX
    Explanations

    statistics or numerical proportions related to different demographics or populations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating statistical prevalence or ratios

    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
    Not in Any Lists

    No Comments

    Negative Logits
     christ
    -0.66
    0000000000000000
    -0.62
    76561
    -0.61
     freed
    -0.61
     heights
    -0.60
     bott
    -0.59
    uyomi
    -0.57
     capt
    -0.56
     architectures
    -0.56
    WHERE
    -0.56
    POSITIVE LOGITS
    organic
    1.03
    patient
    1.02
    clusively
    1.01
    ordinate
    0.94
    clusions
    0.91
    animate
    0.89
    clud
    0.89
    jection
    0.88
    escap
    0.88
    efficiency
    0.86
    Activations Density 0.078%

    No Known Activations