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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. 3-RES-JB
    11. 17012
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    INDEX
    Explanations

    phrases enclosed in quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    quotations and phrases within the text

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Nieto
    -0.80
     destro
    -0.76
     rall
    -0.76
     accomp
    -0.76
     Flavoring
    -0.69
     Gaal
    -0.67
     affiliate
    -0.66
     synd
    -0.66
     seasoned
    -0.66
     Azerb
    -0.65
    POSITIVE LOGITS
    false
    1.14
    true
    1.13
    classic
    1.10
    almost
    1.09
    normal
    1.09
    official
    1.08
    every
    1.08
    no
    1.06
    safe
    1.04
    little
    1.03
    Activations Density 0.175%

    No Known Activations