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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. 4-RES-JB
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    Explanations

    mentions of parks

    oai_token-act-pair · gpt-3.5-turbo

    references to parks

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

    No Comments

    Negative Logits
    xit
    -0.74
     dilig
    -0.73
    nces
    -0.72
    theless
    -0.67
     decomp
    -0.66
    bestos
    -0.64
    nant
    -0.63
    rontal
    -0.63
    ptoms
    -0.62
    soever
    -0.62
    POSITIVE LOGITS
    park
    0.95
     park
    0.90
    hurst
    0.85
    our
    0.85
     ranger
    0.81
    conservancy
    0.81
    way
    0.79
    lands
    0.78
    land
    0.76
    wright
    0.76
    Activations Density 0.013%

    No Known Activations