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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. 20277
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    Explanations

    mentions of specific countries in relation to sporting events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the England football team and its performance

    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
    ebin
    -0.78
    soType
    -0.75
    Bloomberg
    -0.71
    ipation
    -0.71
    ihu
    -0.70
    umblr
    -0.70
     Pastebin
    -0.70
    iannopoulos
    -0.68
    tumblr
    -0.68
    adobe
    -0.67
    POSITIVE LOGITS
     goalkeeper
    1.36
     midfielder
    1.16
     winger
    1.10
     striker
    1.08
     teammate
    1.08
     squad
    1.06
     Rugby
    1.04
     Football
    1.04
    ampions
    1.03
     midfield
    1.03
    Activations Density 0.140%

    No Known Activations