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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 10381
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    Explanations

    mentions of parks or park-related activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of parks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dilig
    -0.83
     decomp
    -0.71
    nces
    -0.67
     Qiao
    -0.65
    xit
    -0.64
    minded
    -0.62
    soever
    -0.61
     alloy
    -0.58
     oxid
    -0.58
    bestos
    -0.58
    POSITIVE LOGITS
    park
    0.95
    our
    0.89
    hurst
    0.88
    conservancy
    0.87
    walking
    0.82
    land
    0.81
    keepers
    0.80
    keeping
    0.79
    walk
    0.79
    walker
    0.78
    Activations Density 0.020%

    No Known Activations