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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. 10395
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    Explanations

    instances of situations involving the absence or lack of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the absence or lack of something

    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
    aly
    -0.74
    ean
    -0.72
    lish
    -0.67
    Bloomberg
    -0.66
    mire
    -0.66
    inarily
    -0.63
     WATCHED
    -0.62
    late
    -0.62
    ammad
    -0.62
    amon
    -0.62
    POSITIVE LOGITS
    xious
    1.23
     discern
    1.11
     clue
    1.03
     detectable
    1.02
     indication
    0.97
     meaningful
    0.95
     shortage
    0.95
    oses
    0.93
     obvious
    0.92
     measurable
    0.91
    Activations Density 0.101%

    No Known Activations