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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
    11. 6333
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    INDEX
    Explanations

    prepositions related to time and the object "I."

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "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 @ 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
    fleet
    -0.74
    oller
    -0.74
    Ohio
    -0.68
    arios
    -0.64
    uckland
    -0.64
    ttle
    -0.63
    §
    -0.62
    chenko
    -0.62
    KK
    -0.61
    Contact
    -0.60
    POSITIVE LOGITS
    bidden
    1.20
     example
    1.20
     instance
    1.11
    gotten
    1.10
    geries
    0.97
     starters
    0.97
     purposes
    0.95
     eternity
    0.90
     sake
    0.89
     awhile
    0.89
    Activations Density 0.366%

    No Known Activations