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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. 2-RES-JB
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    Explanations

    references to cafes within descriptions

    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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RAY
    -0.70
    kus
    -0.69
    oping
    -0.68
    PATH
    -0.67
     iod
    -0.67
    angel
    -0.65
    ansom
    -0.65
    ologically
    -0.61
     Boh
    -0.61
    othy
    -0.60
    POSITIVE LOGITS
     cafe
    1.31
     Cafe
    1.22
     cafes
    1.21
     café
    1.15
     Café
    1.08
    eteria
    1.05
     caf
    0.97
     Restaurant
    0.87
    ecake
    0.86
    erno
    0.83
    Activations Density 0.007%

    No Known Activations