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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

    mentions or references to the word "hat"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "hat" in various contexts and forms

    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
    interstitial
    -0.72
     Superior
    -0.72
     Vale
    -0.71
    Interstitial
    -0.65
     Gly
    -0.64
     medic
    -0.64
     billing
    -0.63
    æĸ¹
    -0.60
     glutamate
    -0.60
     dial
    -0.60
    POSITIVE LOGITS
    hat
    1.02
    soever
    1.00
    chet
    0.96
    dar
    0.94
    ullah
    0.88
    allah
    0.88
    chery
    0.85
    achu
    0.84
    rar
    0.83
    anooga
    0.82
    Activations Density 0.003%

    No Known Activations