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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. 3-RES-JB
    11. 22662
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    Explanations

    locations or distances mentioned 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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orescent
    -0.74
    amate
    -0.74
    */(
    -0.73
    ogyn
    -0.72
    inters
    -0.69
    oras
    -0.67
     warranted
    -0.66
    umers
    -0.66
    uits
    -0.65
    liga
    -0.65
    POSITIVE LOGITS
     mile
    0.87
    bike
    0.75
     kilomet
    0.75
    strument
    0.73
     Kenya
    0.71
     acre
    0.71
    agy
    0.70
    cart
    0.68
     Doodle
    0.68
     Cheong
    0.65
    Activations Density 0.015%

    No Known Activations