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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. 4-RES-JB
    11. 15624
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    Explanations

    references to legumes, particularly beans

    oai_token-act-pair · gpt-3.5-turbo

    references to beans in various contexts

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

    No Comments

    Negative Logits
    ngth
    -0.83
    untled
    -0.75
    nces
    -0.73
    cffff
    -0.72
    umbn
    -0.69
    hematic
    -0.69
    Ö¼
    -0.68
    igators
    -0.67
    rehensive
    -0.65
     reluct
    -0.65
    POSITIVE LOGITS
    bean
    1.24
    beans
    1.05
     Bean
    1.04
    bag
    1.03
     Beans
    1.02
    bags
    0.99
     beans
    0.97
     bean
    0.95
    ie
    0.93
    aign
    0.88
    Activations Density 0.009%

    No Known Activations