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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. 5-RES-JB
    6. 2645
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    INDEX
    Explanations

    phrases expressing strong emotions or opinions

    oai_token-act-pair · gpt-3.5-turbo

    familiar conversational phrases or expressions

    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
     respectively
    -0.82
     ..."
    -0.75
     thereto
    -0.70
    .","
    -0.69
     �
    -0.68
    "],"
    -0.67
     incub
    -0.65
     ``(
    -0.63
     \"
    -0.61
     predomin
    -0.61
    POSITIVE LOGITS
    resa
    1.33
    odore
    1.26
    xiety
    1.13
    swers
    0.98
    notations
    0.93
    laughter
    0.89
    romeda
    0.88
    bye
    0.87
    chieve
    0.84
    nir
    0.79
    Activations Density 0.629%

    No Known Activations