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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. 882
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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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    No Comments

    Negative Logits
     partName
    -0.82
    pmwiki
    -0.80
     constellation
    -0.70
    anian
    -0.70
    alty
    -0.68
    é¾įåĸļ士
    -0.68
    pora
    -0.68
     Fract
    -0.66
    rawdownloadcloneembedreportprint
    -0.65
    antes
    -0.65
    POSITIVE LOGITS
    reth
    0.92
    VB
    0.83
    XY
    0.82
    ritch
    0.78
    nesday
    0.76
    soDeliveryDate
    0.72
    ELD
    0.72
    olicy
    0.71
     McMahon
    0.71
    Commerce
    0.68
    Activations Density 0.044%

    No Known Activations