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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. 11-RES-JB
    6. 8113
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    Explanations

    phrases related to media coverage and public attention

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate widespread attention or coverage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vable
    -0.78
    ahime
    -0.73
    artifacts
    -0.71
    ħĭ
    -0.70
    Password
    -0.68
     Areas
    -0.68
    duc
    -0.67
    agate
    -0.67
    Plan
    -0.66
     Alone
    -0.66
    POSITIVE LOGITS
     applause
    1.36
     acclaim
    1.33
     criticism
    1.30
     scorn
    1.28
     attention
    1.28
     ire
    1.23
     backlash
    1.19
     praise
    1.18
     condemnation
    1.18
     ridicule
    1.16
    Activations Density 0.182%

    No Known Activations