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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. 7-RES-JB
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    Explanations

    the word "quite"

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "not quite" 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
    uments
    -0.90
    olan
    -0.80
    gencies
    -0.73
     DRAG
    -0.72
    udo
    -0.72
    ciplinary
    -0.71
    iesel
    -0.69
    ogi
    -0.69
    selage
    -0.68
    Reviewer
    -0.68
    POSITIVE LOGITS
    icable
    0.81
     reconcil
    0.75
     Enough
    0.74
     spoon
    0.72
     enough
    0.71
     bothered
    0.70
     shy
    0.69
     fit
    0.69
    Enough
    0.68
     anymore
    0.68
    Activations Density 0.012%

    No Known Activations