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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. 8-RES-JB
    11. 10138
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    Explanations

    descriptions of physical attributes or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    end punctuation marks in sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     crunch
    -0.92
     damned
    -0.84
     pesky
    -0.81
     instinct
    -0.79
     tack
    -0.75
     unstoppable
    -0.75
    plet
    -0.75
     taxing
    -0.75
     tackling
    -0.72
    ierre
    -0.72
    POSITIVE LOGITS
     Additionally
    1.56
     Alternatively
    1.48
     Also
    1.42
     However
    1.41
     Interestingly
    1.38
     During
    1.37
     Lastly
    1.34
     Furthermore
    1.32
     Occasionally
    1.31
     Afterwards
    1.30
    Activations Density 0.450%

    No Known Activations