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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. 1740
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    Explanations

    sports team names and game outcomes

    oai_token-act-pair · gpt-3.5-turbo

    numerical identifiers and team names associated with sports events

    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
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    No Comments

    Negative Logits
     gest
    -0.65
     disg
    -0.63
     witnessed
    -0.60
     tabl
    -0.60
     prejud
    -0.59
     obser
    -0.58
     piv
    -0.57
     multiplying
    -0.56
     phr
    -0.56
    pled
    -0.56
    POSITIVE LOGITS
    atform
    0.78
    seed
    0.78
    7
    0.75
    17
    0.73
    14
    0.71
    13
    0.71
    21
    0.71
    16
    0.70
    4
    0.70
    3
    0.69
    Activations Density 0.077%

    No Known Activations