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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. 1-RES-JB
    11. 2356
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    INDEX
    Explanations

    exclamations expressing admiration or excitement

    oai_token-act-pair · gpt-3.5-turbo

    exclamatory punctuation and expressions of excitement or emphasis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.79
     annexed
    -0.66
    endars
    -0.64
    atory
    -0.64
    tics
    -0.64
    odore
    -0.63
    inks
    -0.63
    esville
    -0.61
    rawdownloadcloneembedreportprint
    -0.61
    Wars
    -0.60
    POSITIVE LOGITS
     !
    1.14
    ::::
    0.99
    ;;;;;;;;;;;;
    0.93
    ::::::::
    0.93
    ;;;;;;;;
    0.91
     {\
    0.88
     !!
    0.88
    important
    0.82
    @@@@@@@@
    0.82
     nomine
    0.76
    Activations Density 0.008%

    No Known Activations