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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. 20469
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    Explanations

    mentions of headwear items, particularly hats

    oai_token-act-pair · gpt-3.5-turbo

    the word "hat" and its variations in different contexts

    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
    hyde
    -0.75
     Vaugh
    -0.65
    ULTS
    -0.64
    lect
    -0.64
    FORMATION
    -0.62
    idge
    -0.62
    naire
    -0.62
    taining
    -0.62
    á½
    -0.62
    ADE
    -0.61
    POSITIVE LOGITS
    chet
    1.07
    chery
    1.04
    ia
    0.87
    ullah
    0.80
    tha
    0.77
    ibu
    0.77
    ched
    0.76
    ewater
    0.76
    ulhu
    0.76
    nikov
    0.74
    Activations Density 0.013%

    No Known Activations