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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. 6-RES-JB
    11. 15140
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    Explanations

    specific measurements related to distance, especially in miles

    oai_token-act-pair · gpt-3.5-turbo

    references to distances measured in miles

    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
    gotten
    -0.74
    */(
    -0.72
    itative
    -0.70
    eer
    -0.68
    icum
    -0.68
    olith
    -0.68
    icious
    -0.66
    istically
    -0.66
     MFT
    -0.65
    ãĥ¤
    -0.64
    POSITIVE LOGITS
    bike
    0.87
     kilometers
    0.82
     traveled
    0.82
     km
    0.81
     kilometres
    0.77
    km
    0.77
    cano
    0.76
     miles
    0.76
     radius
    0.75
    assing
    0.74
    Activations Density 0.025%

    No Known Activations