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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 23299
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    INDEX
    Explanations

    phrases indicating a strong negative sentiment or denial

    oai_token-act-pair · gpt-3.5-turbo

    negations or statements indicating the absence of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rn
    -0.73
    Ott
    -0.69
    ean
    -0.68
     Appears
    -0.67
    lish
    -0.67
    eals
    -0.66
    lean
    -0.65
    otton
    -0.64
    leaning
    -0.64
    staking
    -0.64
    POSITIVE LOGITS
     shortage
    1.13
     doubt
    1.12
     indication
    1.05
     reason
    0.98
     guarantee
    0.96
     discern
    0.95
     conceivable
    0.92
    xious
    0.91
     longer
    0.91
     denying
    0.90
    Activations Density 0.061%

    No Known Activations