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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. 0-RES-JB
    11. 8142
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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 @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rivers
    -0.84
    alties
    -0.72
    etr
    -0.71
     Rosenstein
    -0.69
    OH
    -0.68
     Michigan
    -0.65
    Michigan
    -0.64
     Arrow
    -0.63
    stellar
    -0.62
     Jackson
    -0.62
    POSITIVE LOGITS
     cafe
    3.67
     café
    3.26
     cafes
    3.12
     Cafe
    2.72
     Café
    2.55
     caf
    2.47
     Caf
    1.80
     diner
    1.65
     bakery
    1.65
     cafeteria
    1.51
    Activations Density 0.024%

    No Known Activations