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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. 4938
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    Explanations

    quotations within sentences

    oai_token-act-pair · gpt-3.5-turbo

    quoted speech or dialogue

    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
     civ
    -0.76
     federally
    -0.70
     taxpayer
    -0.70
     encl
    -0.69
     popul
    -0.69
     reasoned
    -0.68
     accomp
    -0.68
     disag
    -0.68
     benefic
    -0.67
     prolifer
    -0.67
    POSITIVE LOGITS
    Yeah
    1.50
    Obviously
    1.42
    Honestly
    1.40
    Everybody
    1.32
    I
    1.30
    Absolutely
    1.27
    Probably
    1.23
    Hopefully
    1.23
    We
    1.22
    Certainly
    1.20
    Activations Density 0.081%

    No Known Activations