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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 12-RES-JB
    6. 3072
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    INDEX
    Explanations

    validation or assessment in a decision-making context

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases indicating unexpected outcomes or realizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raltar
    -0.67
    icipated
    -0.60
    aldi
    -0.58
    mania
    -0.57
    urrent
    -0.57
    cius
    -0.57
    asus
    -0.56
    ighth
    -0.55
    aded
    -0.54
    kel
    -0.54
    POSITIVE LOGITS
     differently
    0.73
     alright
    0.72
     okay
    0.70
     to
    0.68
    Ñĭ
    0.62
     liking
    0.62
     OK
    0.61
     ok
    0.61
     REALLY
    0.60
    wards
    0.60
    Activations Density 0.093%

    No Known Activations