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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. 6-RES-JB
    11. 24450
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    Explanations

    punctuation marks used for dialogue

    oai_token-act-pair · gpt-3.5-turbo

    instances of direct speech or quotations in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    swick
    -0.72
    olves
    -0.71
    ife
    -0.66
    cius
    -0.62
     trouble
    -0.61
     Cases
    -0.61
    olved
    -0.61
    ield
    -0.60
    izon
    -0.59
    cases
    -0.59
    POSITIVE LOGITS
     '[
    0.92
     "âĢ¦
    0.88
     "'
    0.82
     "...
    0.78
     although
    0.77
     "[
    0.77
     "(
    0.76
     '(
    0.75
     albeit
    0.74
    rompt
    0.73
    Activations Density 0.118%

    No Known Activations