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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    mentions of penalty kicks in sports

    oai_token-act-pair · gpt-3.5-turbo

    mentions of penalties in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iko
    -0.77
    tails
    -0.75
    rina
    -0.73
    atters
    -0.73
    fortune
    -0.70
    ili
    -0.70
    åħī
    -0.68
    rust
    -0.68
    ership
    -0.67
    sonian
    -0.67
    POSITIVE LOGITS
     penalty
    1.31
     penalties
    1.04
     punishment
    0.95
     Penalty
    0.93
     punish
    0.84
     sanction
    0.82
     levied
    0.81
     knockout
    0.79
     punishments
    0.79
     punished
    0.78
    Activations Density 0.010%

    No Known Activations