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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
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    Explanations

    the word "bee"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of bees

    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
     incl
    -0.67
     Laurent
    -0.66
    ICT
    -0.66
     mull
    -0.63
     Oss
    -0.63
     Tamil
    -0.63
     cre
    -0.62
     Pall
    -0.62
     justice
    -0.61
     sarc
    -0.61
    POSITIVE LOGITS
    bee
    4.80
    bees
    2.76
    Bee
    2.51
     Bee
    1.87
     bee
    1.60
     Bees
    1.55
     bees
    1.35
    bie
    1.34
    abee
    1.29
    be
    1.16
    Activations Density 0.007%

    No Known Activations