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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. 3951
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    Explanations

    information related to sports injuries, player returns, and team decisions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating player returns from injuries or decisions regarding athletes' returns

    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
     Gloria
    -0.67
     controllers
    -0.64
    rote
    -0.63
     hierarch
    -0.62
     empires
    -0.60
     Found
    -0.59
     Nath
    -0.59
     Controller
    -0.59
    cens
    -0.59
     Galileo
    -0.59
    POSITIVE LOGITS
     unrestricted
    0.94
     sooner
    0.93
     rehab
    0.93
     fullback
    0.92
     waivers
    0.91
     teammates
    0.90
     FANTASY
    0.88
    ":"/
    0.87
     undrafted
    0.82
     pinch
    0.80
    Activations Density 0.495%

    No Known Activations