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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. 11488
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    Explanations

    mentions of attending events or activities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "attend" and its variations

    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
    slice
    -0.76
    worn
    -0.73
    erm
    -0.73
    deal
    -0.71
    berman
    -0.71
    selves
    -0.69
    ãĥīãĥ©ãĤ´ãĥ³
    -0.64
    lda
    -0.64
    hl
    -0.64
    cold
    -0.63
    POSITIVE LOGITS
     meetings
    1.02
     conferences
    0.93
     conventions
    0.87
     PAX
    0.86
     seminars
    0.86
     college
    0.81
     lectures
    0.80
     RTX
    0.80
     rallies
    0.79
     Attend
    0.78
    Activations Density 0.026%

    No Known Activations