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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. 6-RES-JB
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    Explanations

    the phrase "every single" followed by a noun

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "every single" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orthy
    -0.83
    ctr
    -0.72
    aline
    -0.71
    ÃĥÃĤ
    -0.70
    eln
    -0.69
    HCR
    -0.69
    lied
    -0.68
    bda
    -0.68
    ual
    -0.68
    olas
    -0.67
    POSITIVE LOGITS
    THING
    1.18
     imaginable
    0.94
     goddamn
    0.85
    WHERE
    0.84
     inch
    0.78
     conceivable
    0.78
     penny
    0.77
    ONE
    0.77
     digit
    0.77
     facet
    0.77
    Activations Density 0.019%

    No Known Activations