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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. 1-RES-JB
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    Explanations

    references to amusement parks and related activities

    oai_token-act-pair · gpt-3.5-turbo

    words related to amusement parks and recreational venues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rogens
    -0.85
    arians
    -0.82
    arers
    -0.74
    rosis
    -0.73
    initions
    -0.73
    yan
    -0.71
    ths
    -0.71
    rators
    -0.70
    laim
    -0.69
    hao
    -0.68
    POSITIVE LOGITS
     Coliseum
    1.02
     coaster
    1.02
     amusement
    0.99
     Resort
    0.87
     Canaveral
    0.87
     attraction
    0.86
     Speedway
    0.86
    park
    0.83
     attractions
    0.79
     Railroad
    0.79
    Activations Density 0.023%

    No Known Activations