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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. 3-RES-JB
    11. 23245
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    Explanations

    words related to reducing or seducing

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "reduce" and its derivatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ü
    -0.73
    sung
    -0.68
     Takeru
    -0.68
    printf
    -0.64
    hips
    -0.64
     Cosponsors
    -0.63
    Made
    -0.62
     Cooke
    -0.61
     WRITE
    -0.60
    DOC
    -0.60
    POSITIVE LOGITS
    uce
    1.22
    xual
    1.16
    llor
    0.97
    lectic
    0.91
    uces
    0.91
    vous
    0.85
    eer
    0.82
    lect
    0.82
    rette
    0.81
    vre
    0.80
    Activations Density 0.015%

    No Known Activations