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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. 1-RES-JB
    11. 3483
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    Explanations

    mentions of positions or roles in sports teams, particularly focusing on a specific position like midfielder

    oai_token-act-pair · gpt-3.5-turbo

    mentions of soccer players and their positions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aber
    -0.75
    odes
    -0.71
    road
    -0.70
    igslist
    -0.67
    ctica
    -0.67
     Females
    -0.66
    orship
    -0.66
    atorial
    -0.66
    oras
    -0.66
    ggies
    -0.65
    POSITIVE LOGITS
     midfielder
    0.91
     extraord
    0.85
     footballer
    0.82
     outfielder
    0.82
     winger
    0.81
     defender
    0.80
    hander
    0.66
    iffe
    0.66
     fielder
    0.65
     striker
    0.64
    Activations Density 0.018%

    No Known Activations