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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. 9749
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    INDEX
    Explanations

    instances where the text discusses economic or financial matters

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "for" in various contexts

    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
    edin
    -0.84
    KK
    -0.74
    mare
    -0.73
    Strange
    -0.72
    LAB
    -0.71
    nick
    -0.70
    SourceFile
    -0.70
    Champ
    -0.68
    chenko
    -0.68
    OFF
    -0.68
    POSITIVE LOGITS
    bidden
    1.19
    gery
    1.11
    gotten
    1.06
     purposes
    1.05
     example
    1.04
    geries
    1.04
    aging
    1.01
     instance
    0.95
    cing
    0.93
     starters
    0.92
    Activations Density 0.489%

    No Known Activations