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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. 3-RES-JB
    11. 8187
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    Explanations

    references to coins or small amounts of money

    oai_token-act-pair · gpt-3.5-turbo

    references to currency and small amounts of money

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Aval
    -0.74
    Interstitial
    -0.70
     Intent
    -0.70
     Concern
    -0.69
     Clapper
    -0.69
    gans
    -0.67
    LU
    -0.67
     Cosby
    -0.65
     Continued
    -0.65
     STUD
    -0.65
    POSITIVE LOGITS
    sylv
    1.17
    iless
    1.11
     penn
    1.05
    uity
    1.00
    sylvania
    0.97
    eteen
    0.91
    uously
    0.90
    oried
    0.86
    kered
    0.86
    orable
    0.84
    Activations Density 0.011%

    No Known Activations