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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. 5-RES-JB
    6. 9797
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    Explanations

    locations described by distances in miles or kilometers

    oai_token-act-pair · gpt-3.5-turbo

    distances measured in miles or kilometers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eer
    -0.75
    istry
    -0.69
    gotten
    -0.68
    istically
    -0.67
     Suc
    -0.66
    eers
    -0.66
    itol
    -0.66
    inse
    -0.65
    itative
    -0.64
    icious
    -0.64
    POSITIVE LOGITS
     km
    0.88
     kilometers
    0.83
     kilometres
    0.83
    km
    0.82
    bike
    0.80
     traveled
    0.80
     radius
    0.77
     miles
    0.77
     Cheong
    0.75
    cano
    0.73
    Activations Density 0.022%

    No Known Activations