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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. 11874
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    Explanations

    financial and business-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to legal, governmental, and organizational contexts

    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
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    Negative Logits
    rb
    -0.66
    onen
    -0.65
    Adds
    -0.65
    ortmund
    -0.63
     BELOW
    -0.60
    daq
    -0.60
     ðŁij
    -0.58
    ACTED
    -0.58
    APTER
    -0.58
    hma
    -0.58
    POSITIVE LOGITS
    cellaneous
    0.81
     versa
    0.75
     respectively
    0.73
     accessories
    0.71
     assorted
    0.64
     alike
    0.57
     stationary
    0.56
     attachments
    0.56
    .'"
    0.56
     thereof
    0.55
    Activations Density 0.586%

    No Known Activations