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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. 9-RES-JB
    11. 7212
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    INDEX
    Explanations

    phrases expressing distance or contrast from an expected or assumed state

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a lack of progress or completion in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    liction
    -0.74
     unfocusedRange
    -0.72
    ription
    -0.70
    dump
    -0.69
    illary
    -0.69
    iddles
    -0.68
    isin
    -0.68
    afia
    -0.67
    pez
    -0.67
    ourses
    -0.66
    POSITIVE LOGITS
     ideal
    0.95
     perfect
    0.89
     conclusive
    0.88
     resembling
    0.86
     definitive
    0.82
     glamorous
    0.80
     satisfactory
    0.79
     exhaustive
    0.79
     flawless
    0.78
     dull
    0.77
    Activations Density 0.040%

    No Known Activations