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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. 10-RES-JB
    11. 6148
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    Explanations

    words with the subsequence "sh" followed by any characters

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the "sh" sound or syllable in words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.74
     Ajax
    -0.73
     foil
    -0.68
    terday
    -0.67
     sax
    -0.65
     ground
    -0.62
    cki
    -0.61
     Cosmos
    -0.61
     seasoned
    -0.61
     Leth
    -0.60
    POSITIVE LOGITS
    apesh
    1.34
    atters
    1.33
    rapnel
    1.32
    apeshifter
    1.30
    oddy
    1.29
    ackle
    1.26
    ippers
    1.23
    akedown
    1.23
    ivering
    1.19
    ivers
    1.16
    Activations Density 0.010%

    No Known Activations