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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. 10-RES-JB
    11. 11551
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    Explanations

    hypothetical scenarios and questions about alternative outcomes

    oai_token-act-pair · gpt-3.5-turbo

    hypothetical scenarios and conditional statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    haw
    -0.63
     Contains
    -0.59
     \'
    -0.57
    sharp
    -0.54
    ggles
    -0.53
    è¦ļéĨĴ
    -0.53
    ilon
    -0.52
     Pace
    -0.52
    emis
    -0.51
    ching
    -0.50
    POSITIVE LOGITS
     if
    1.15
    would
    0.91
    Had
    0.87
     hypot
    0.86
     Would
    0.84
    enance
    0.84
    ivably
    0.84
     someday
    0.83
     differently
    0.82
     would
    0.82
    Activations Density 0.457%

    No Known Activations