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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. 10-RES-JB
    11. 3180
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    Explanations

    verbs related to accomplishments and actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate completion of tasks or accomplishments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rish
    -0.75
    iru
    -0.70
    article
    -0.68
    apo
    -0.63
    idental
    -0.61
    Whoever
    -0.59
    cms
    -0.59
     anymore
    -0.59
    $$$$
    -0.58
    terday
    -0.57
    POSITIVE LOGITS
     countless
    1.22
     numerous
    1.20
     plenty
    1.14
     innumerable
    1.10
     extensively
    1.04
     since
    0.98
     several
    0.93
     considerable
    0.93
     dozens
    0.91
     many
    0.90
    Activations Density 0.236%

    No Known Activations