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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. 18038
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    Explanations

    keywords related to sports seasons, particularly the term "regular season"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the concept of "regular season" in sports contexts

    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
    lda
    -0.88
    UST
    -0.78
    IRO
    -0.76
    hod
    -0.73
    OPA
    -0.71
    arta
    -0.69
    Technology
    -0.69
    FG
    -0.69
    Sov
    -0.67
    ï¸ı
    -0.67
    POSITIVE LOGITS
    ity
    1.01
    etheless
    0.96
    ties
    0.90
     appearances
    0.89
    izations
    0.85
    isation
    0.82
     assignments
    0.82
    ization
    0.81
    ised
    0.80
    isations
    0.79
    Activations Density 0.009%

    No Known Activations