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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. 4-RES-JB
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    Explanations

    instances of the word "tag" with varying levels of activation

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of the word "tag."

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

    No Comments

    Negative Logits
    theless
    -0.85
     Reverend
    -0.71
    ITNESS
    -0.68
     Lumpur
    -0.68
     Seym
    -0.64
    icago
    -0.63
    ¬¼
    -0.62
    isky
    -0.60
    undai
    -0.60
     Monetary
    -0.60
    POSITIVE LOGITS
    gers
    1.11
    ged
    1.11
    tags
    1.03
    tag
    1.01
    alog
    1.01
    gery
    0.97
    ger
    0.87
    ging
    0.87
    TAG
    0.86
    strip
    0.82
    Activations Density 0.013%

    No Known Activations