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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. 8-RES-JB
    11. 4168
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    Explanations

    references to the professional sports league "Pro"

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Pro Bowl" and related contexts in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¼ãĤ¦ãĤ¹
    -0.82
     straw
    -0.77
     halls
    -0.73
     ow
    -0.65
     spoon
    -0.65
     oranges
    -0.63
     strawberries
    -0.63
    assetsadobe
    -0.62
    erella
    -0.62
    aret
    -0.60
    POSITIVE LOGITS
    digy
    1.50
    posal
    1.33
    gression
    1.32
    secution
    1.30
    verbs
    1.26
    clamation
    1.25
    ducers
    1.19
    blems
    1.18
    portion
    1.15
    ceed
    1.14
    Activations Density 0.018%

    No Known Activations