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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. 9-RES-JB
    11. 23025
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    Explanations

    phrases related to seeds or planting

    oai_token-act-pair · gpt-3.5-turbo

    references to seeds and their various contexts, particularly in growth and development

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mathemat
    -0.74
    zzi
    -0.71
     behav
    -0.66
    ĺħ
    -0.65
    urches
    -0.65
     glam
    -0.64
    inez
    -0.64
    hemy
    -0.63
    ĵĺ
    -0.63
     favour
    -0.63
    POSITIVE LOGITS
    lings
    1.32
    ling
    1.09
    orf
    0.95
    lein
    0.89
     ger
    0.88
    belt
    0.86
    seed
    0.85
    edIn
    0.83
     planted
    0.82
    bank
    0.82
    Activations Density 0.036%

    No Known Activations