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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. 22004
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    Explanations

    words related to the "Ford Focus."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Focus"

    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
    pron
    -0.68
    iding
    -0.67
     mole
    -0.67
    mia
    -0.65
    ston
    -0.63
     slee
    -0.63
     crawl
    -0.62
    cffffcc
    -0.62
     stride
    -0.61
    MET
    -0.60
    POSITIVE LOGITS
    Focus
    1.17
    rite
    0.97
     Focus
    0.94
    focus
    0.90
    ão
    0.88
     Assist
    0.87
     Features
    0.85
    rament
    0.81
    iture
    0.81
    haus
    0.80
    Activations Density 0.009%

    No Known Activations