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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. 22085
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    Explanations

    names (specifically with the pattern 'ohn') as well as numbers and locations

    oai_token-act-pair · gpt-3.5-turbo

    the name "Johannes" and variations of the name "John"

    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
    phal
    -0.75
     sovere
    -0.67
    mates
    -0.66
    binary
    -0.66
    mate
    -0.64
     dysph
    -0.63
     Tsukuyomi
    -0.62
     ingred
    -0.62
     clipboard
    -0.62
     blockers
    -0.61
    POSITIVE LOGITS
    ohn
    1.09
     Johannes
    0.89
    son
    0.85
    iewicz
    0.81
    burg
    0.81
    arson
    0.79
    ensation
    0.77
    rawdownloadcloneembedreportprint
    0.74
    acket
    0.74
     Schwarz
    0.73
    Activations Density 0.023%

    No Known Activations