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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. 11-RES-JB
    11. 12798
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    Explanations

    words ending in "ly"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'l'

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Subtle
    -0.68
     Credit
    -0.67
     Shack
    -0.66
     backdrop
    -0.61
     neighbor
    -0.61
     household
    -0.60
     TOD
    -0.60
     Goblin
    -0.60
     coll
    -0.59
     Hole
    -0.59
    POSITIVE LOGITS
    ibrarian
    1.48
    adders
    1.40
    ivery
    1.35
    izards
    1.34
    ongh
    1.31
    ibr
    1.30
    umps
    1.23
    ovable
    1.22
    iverpool
    1.22
    onel
    1.18
    Activations Density 0.022%

    No Known Activations