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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 8971
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    Explanations

    mentions of various chambers of commerce in different locations

    oai_token-act-pair · gpt-3.5-turbo

    references to various chambers of commerce

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wass
    -0.63
     curfew
    -0.62
    ces
    -0.57
     Sussex
    -0.57
     streaks
    -0.56
    hig
    -0.56
    DER
    -0.55
     Fields
    -0.54
    ynasty
    -0.54
    COL
    -0.54
    POSITIVE LOGITS
    lain
    1.53
    maid
    0.98
    house
    0.91
     chambers
    0.80
     chamber
    0.80
    door
    0.79
    dayName
    0.77
    aneers
    0.76
    icone
    0.75
    ophon
    0.75
    Activations Density 0.014%

    No Known Activations