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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. 10668
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    INDEX
    Explanations

    mentions of dirt

    oai_token-act-pair · gpt-3.5-turbo

    references to dirt and its various contexts or implications

    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
    uberty
    -0.74
    itals
    -0.73
    eer
    -0.72
     faculties
    -0.70
    ofi
    -0.69
     Osw
    -0.69
    FontSize
    -0.68
    ommod
    -0.67
    aii
    -0.66
    inel
    -0.65
    POSITIVE LOGITS
    bag
    1.29
    bags
    1.28
     dirt
    1.07
    bike
    1.02
    iest
    0.95
     Dirt
    0.93
    shed
    0.87
    brush
    0.82
    iless
    0.80
    sie
    0.80
    Activations Density 0.010%

    No Known Activations