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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. 6509
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    Explanations

    financial terms and calculations

    oai_token-act-pair · gpt-3.5-turbo

    financial data and statistics

    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
    agher
    -0.77
    erson
    -0.65
     groom
    -0.55
    gered
    -0.54
     Clement
    -0.54
     eater
    -0.53
    kj
    -0.53
    kefeller
    -0.52
    xus
    -0.52
    EStream
    -0.52
    POSITIVE LOGITS
     guiName
    0.70
    UTC
    0.62
     guiActiveUnfocused
    0.60
    lance
    0.59
    ilib
    0.58
     Solitaire
    0.57
     reversible
    0.56
    ĥ
    0.54
    ruction
    0.53
     Dropbox
    0.52
    Activations Density 0.992%

    No Known Activations