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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. 7-RES-JB
    6. 5132
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    Explanations

    dates or anniversaries expressed in an ordinal format

    oai_token-act-pair · gpt-3.5-turbo

    specific numbers, particularly dates and ordinal values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     derog
    -0.66
    govtrack
    -0.63
    iku
    -0.63
    abwe
    -0.61
     alike
    -0.60
    theless
    -0.59
     targ
    -0.59
    imaru
    -0.59
     scrut
    -0.58
    imately
    -0.58
    POSITIVE LOGITS
    th
    1.27
    teenth
    1.10
    nd
    0.97
    venth
    0.96
    %-
    0.95
    rd
    0.94
    %"
    0.93
     richest
    0.84
    ieth
    0.84
    ½
    0.78
    Activations Density 0.134%

    No Known Activations