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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. 11-RES-JB
    11. 1084
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    Explanations

    sport-related terms and actions

    oai_token-act-pair · gpt-3.5-turbo

    references to specific events or actions in sports-related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     srfAttach
    -0.84
    atibility
    -0.80
    izons
    -0.80
    channelAvailability
    -0.79
    enegger
    -0.79
     leases
    -0.77
    orders
    -0.76
    leases
    -0.76
    soDeliveryDate
    -0.76
    wiki
    -0.75
    POSITIVE LOGITS
     replay
    1.37
     halftime
    1.24
     touchdown
    1.16
     scoreboard
    1.15
     fumble
    1.13
     turnovers
    1.11
     composure
    1.06
     interception
    1.05
     victory
    1.04
     timeout
    1.04
    Activations Density 0.410%

    No Known Activations