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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. 12104
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    INDEX
    Explanations

    phrases indicating potential or hypothetical actions or situations

    oai_token-act-pair · gpt-3.5-turbo

    variations of the verb "to be."

    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
     Ples
    -0.74
    rating
    -0.70
    ashtra
    -0.66
     Kills
    -0.65
    rador
    -0.63
    ivity
    -0.62
    OVA
    -0.62
    án
    -0.62
    oleon
    -0.60
    rats
    -0.60
    POSITIVE LOGITS
    yond
    0.76
    gotten
    0.71
    ãĤ´ãĥ³
    0.65
    ilet
    0.62
    here
    0.62
    reprene
    0.62
     twe
    0.61
     BF
    0.60
    erent
    0.58
    ievers
    0.56
    Activations Density 0.024%

    No Known Activations