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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. 9-RES-JB
    6. 1114
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    henko
    -0.67
    lla
    -0.65
    cano
    -0.64
    lished
    -0.62
    coni
    -0.61
    IRO
    -0.60
    recated
    -0.60
     cx
    -0.59
    itals
    -0.59
    lli
    -0.59
    POSITIVE LOGITS
    igans
    1.27
    ittle
    1.11
    igan
    1.07
    abies
    0.99
    enburg
    0.98
    ibrary
    0.96
    ounge
    0.96
    igible
    0.94
    isted
    0.91
    abor
    0.90
    Activations Density 0.083%

    No Known Activations