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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. 9-RES-JB
    11. 13697
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    Explanations

    personal opinions or expressions of acknowledgement and recognition

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals and their actions or opinions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    owship
    -0.70
    andum
    -0.67
    amia
    -0.62
    ocamp
    -0.62
    qqa
    -0.61
     Saud
    -0.61
     secondly
    -0.61
    enter
    -0.60
    aliation
    -0.60
    berra
    -0.60
    POSITIVE LOGITS
     concedes
    1.02
     concede
    1.00
     admits
    0.98
     acknowledges
    0.94
     admit
    0.93
     acknowledge
    0.83
     compromises
    0.81
     whiff
    0.78
     acknowledging
    0.76
     couldn
    0.76
    Activations Density 0.162%

    No Known Activations