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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. 3-RES-JB
    11. 8335
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    Explanations

    occurrences of the word "Cat" with varying degrees of match in the document

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Cat" and its variations within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mble
    -0.89
    hower
    -0.81
     Seym
    -0.76
     htt
    -0.76
    assetsadobe
    -0.71
    gur
    -0.70
    uden
    -0.67
    demand
    -0.66
     Vander
    -0.66
    olulu
    -0.65
    POSITIVE LOGITS
    aclysm
    1.42
    apult
    1.24
    heter
    1.12
    cat
    1.12
    Cat
    1.04
    alogue
    0.99
    cher
    0.98
    cats
    0.97
    fish
    0.96
    alyst
    0.95
    Activations Density 0.008%

    No Known Activations