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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. 7-RES-JB
    11. 23052
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    Explanations

    references to comparisons with other entities or things

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to technology and various industries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Proxy
    -0.68
    steen
    -0.67
    instein
    -0.63
    arty
    -0.60
    yon
    -0.60
    oros
    -0.60
    enhagen
    -0.60
    CHAT
    -0.57
    enberg
    -0.56
     Correct
    -0.56
    POSITIVE LOGITS
     except
    0.78
     preceded
    0.73
    Tracker
    0.71
     besides
    0.71
     surveyed
    0.70
     whatsoever
    0.68
     nationwide
    0.68
     contemporaries
    0.68
     attRot
    0.67
     imaginable
    0.66
    Activations Density 0.244%

    No Known Activations