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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. 0-RES-JB
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    Explanations

    references to sports plays (e.g., 'plays', 'big plays', 'make plays') in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "plays," particularly in sports or performance contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cill
    -0.68
    andum
    -0.62
    attr
    -0.61
    endum
    -0.61
    cius
    -0.58
    10000
    -0.58
    igslist
    -0.57
    ¶æ
    -0.57
    conv
    -0.57
    £ı
    -0.56
    POSITIVE LOGITS
     plays
    3.67
     Plays
    2.47
     play
    2.24
    plays
    2.07
     played
    1.90
     playing
    1.63
    Play
    1.62
    play
    1.60
     Play
    1.60
     Playing
    1.53
    Activations Density 0.011%

    No Known Activations