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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. 5-RES-JB
    6. 4775
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    Explanations

    distances measured in kilometers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of distances measured in 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
    gotten
    -0.71
    tek
    -0.69
     bearer
    -0.68
    inse
    -0.63
     Gott
    -0.63
     Crunch
    -0.60
    tons
    -0.59
    mond
    -0.59
    bek
    -0.58
     lett
    -0.58
    POSITIVE LOGITS
     km
    1.04
    km
    1.02
     kilometers
    0.87
     kilometres
    0.86
    iking
    0.83
    assing
    0.81
    ²
    0.81
    airo
    0.79
    arij
    0.78
    oses
    0.78
    Activations Density 0.013%

    No Known Activations