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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. 8760
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    INDEX
    Explanations

    questions starting with "Would" and presenting hypothetical scenarios

    oai_token-act-pair · gpt-3.5-turbo

    questions posed to the reader

    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
    ãĤĬ
    -0.67
    natureconservancy
    -0.61
    SPONSORED
    -0.60
    ãģĮ
    -0.59
    minus
    -0.58
    displayText
    -0.58
    ãĢĤ
    -0.58
    ãģ«
    -0.57
    hig
    -0.57
     traced
    -0.57
    POSITIVE LOGITS
     anyone
    1.04
    n
    1.03
     anybody
    1.02
     you
    0.94
     it
    0.86
     they
    0.83
     somebody
    0.82
     we
    0.81
     someone
    0.81
     YOU
    0.74
    Activations Density 0.074%

    No Known Activations