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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. 7-RES-JB
    11. 13658
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    INDEX
    Explanations

    specific instances of a keyword "Ex" followed by a number (either 9 or 10)

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the prefix "Ex" indicating an emphasis on external or excluded elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sawyer
    -0.74
     GOODMAN
    -0.74
    OOD
    -0.64
    LIN
    -0.63
     edges
    -0.63
     pellets
    -0.63
     Rough
    -0.62
    enegger
    -0.62
    WARE
    -0.61
     sticks
    -0.61
    POSITIVE LOGITS
    haust
    1.36
    cerpt
    1.25
    ternally
    1.24
    cessive
    1.23
    ceptions
    1.20
    isting
    1.20
    changes
    1.18
    terior
    1.17
    clamation
    1.17
    pert
    1.13
    Activations Density 0.021%

    No Known Activations