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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. 9-RES-JB
    11. 4683
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    Explanations

    mentions of individuals scoring goals in sports

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the verb "score" and its variations, particularly in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    forums
    -0.72
     pedd
    -0.70
    ship
    -0.68
    OVA
    -0.65
     Layer
    -0.62
     Fit
    -0.62
    ships
    -0.60
    edia
    -0.59
     Canaver
    -0.59
    abus
    -0.58
    POSITIVE LOGITS
     touchdowns
    0.94
    against
    0.77
     scored
    0.74
     Rica
    0.73
    monton
    0.73
    cards
    0.70
     goals
    0.70
     scorer
    0.70
     against
    0.69
    ampions
    0.69
    Activations Density 0.027%

    No Known Activations