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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. 3-RES-JB
    11. 21202
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    Explanations

    terms related to offensive strategies in sports

    oai_token-act-pair · gpt-3.5-turbo

    references to offensive plays or strategies in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bourg
    -0.80
    EVA
    -0.70
    obook
    -0.68
    zl
    -0.67
    grave
    -0.65
     Clover
    -0.64
    éĸ
    -0.64
    monary
    -0.64
    bank
    -0.64
    bara
    -0.63
    POSITIVE LOGITS
     offense
    1.04
     Offense
    1.01
    ENSE
    0.82
    ception
    0.76
     linemen
    0.76
     Rodgers
    0.74
     oriented
    0.72
     offensively
    0.70
     lineman
    0.69
     offence
    0.68
    Activations Density 0.010%

    No Known Activations