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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    mentions of the word "Fat" followed by a numerical value

    oai_token-act-pair · gpt-3.5-turbo

    the term "Fat" and its relevance in various contexts

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

    No Comments

    Negative Logits
    SPONSORED
    -0.86
    sers
    -0.84
     Vaugh
    -0.78
    ä
    -0.71
     UNIVERS
    -0.68
    theless
    -0.68
     Pharmaceutical
    -0.67
    yrinth
    -0.67
     patented
    -0.66
     WARN
    -0.66
    POSITIVE LOGITS
    igue
    1.30
    emen
    0.97
    ric
    0.90
    fat
    0.89
    erno
    0.88
    liction
    0.88
    Fat
    0.88
    ifa
    0.86
    rik
    0.86
    ty
    0.86
    Activations Density 0.011%

    No Known Activations