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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
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    Explanations

    mentions of cafes

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "cafe" and its variants

    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
    kus
    -0.67
    RAY
    -0.65
    PATH
    -0.64
     iod
    -0.63
     Boh
    -0.63
    IGHTS
    -0.62
    ansom
    -0.60
    SON
    -0.60
    REE
    -0.59
    female
    -0.59
    POSITIVE LOGITS
     cafe
    1.27
     cafes
    1.22
     café
    1.17
     Cafe
    1.08
     caf
    1.06
    eteria
    1.03
     Café
    0.97
     racer
    0.95
     kios
    0.94
    ecake
    0.91
    Activations Density 0.006%

    No Known Activations