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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. 2-RES-JB
    11. 482
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    Explanations

    references to replays in a sporting context

    oai_token-act-pair · gpt-3.5-turbo

    the word "replay"

    oai_token-act-pair · gpt-4-turbo

    terms related to video replays or highlights

    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
    ora
    -0.73
    essen
    -0.73
    pper
    -0.70
    iasm
    -0.69
    bara
    -0.68
    kers
    -0.68
    slow
    -0.67
    debian
    -0.66
    byn
    -0.64
    ortium
    -0.64
    POSITIVE LOGITS
     replay
    1.43
     Replay
    0.98
     repl
    0.69
     playthrough
    0.69
    Revolution
    0.68
     Odyssey
    0.67
    Rew
    0.66
     repeats
    0.66
    cards
    0.65
     gameplay
    0.65
    Activations Density 0.005%

    No Known Activations