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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. 3-RES-JB
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    Explanations

    specific locations or places named "Park."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various parks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nces
    -0.84
     dilig
    -0.82
    Downloadha
    -0.77
    rontal
    -0.69
    apter
    -0.69
    acists
    -0.66
    acist
    -0.65
     condensed
    -0.65
     pneum
    -0.65
     decomp
    -0.63
    POSITIVE LOGITS
    park
    1.03
     Park
    1.00
    hurst
    0.99
     Zoo
    0.95
    Park
    0.90
     Avenue
    0.87
    itect
    0.81
    erville
    0.81
    dale
    0.79
     Plaza
    0.79
    Activations Density 0.017%

    No Known Activations