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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. 8-RES-JB
    11. 11585
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    Explanations

    mentions of cafes

    oai_token-act-pair · gpt-3.5-turbo

    references to cafes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    methyl
    -0.67
    female
    -0.65
    LOCK
    -0.65
    aining
    -0.65
    ologically
    -0.64
    usted
    -0.62
    olves
    -0.62
     iod
    -0.62
    ioxide
    -0.61
    ayn
    -0.60
    POSITIVE LOGITS
     cafes
    1.09
     cafe
    1.06
     café
    1.02
     caf
    1.00
    eteria
    0.94
     frequ
    0.92
     kios
    0.92
     au
    0.90
     Cafe
    0.87
     racer
    0.86
    Activations Density 0.037%

    No Known Activations