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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. 23311
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    INDEX
    Explanations

    specific numerical quantities or measurements within a larger context

    oai_token-act-pair · gpt-3.5-turbo

    the word "which" and its occurrences in various contexts

    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
    Tes
    -0.67
    fare
    -0.63
     Pry
    -0.60
    athi
    -0.60
     Brut
    -0.56
     sett
    -0.56
    ta
    -0.56
    phe
    -0.54
    trak
    -0.54
    dad
    -0.54
    POSITIVE LOGITS
    thood
    0.71
    aepernick
    0.62
    onial
    0.60
     consists
    0.60
    ocom
    0.59
    ossom
    0.58
     hereafter
    0.58
    soever
    0.57
    Operation
    0.57
    leck
    0.56
    Activations Density 0.016%

    No Known Activations