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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 15064
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    INDEX
    Explanations

    numerical values and punctuation marks

    oai_token-act-pair · gpt-3.5-turbo

    representation of code and programming elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     TAMADRA
    -0.86
     Union
    -0.84
     Laboratory
    -0.84
     Smoke
    -0.83
     Mobil
    -0.82
     Opinion
    -0.82
     Marketing
    -0.81
     Polk
    -0.81
     Investment
    -0.80
     Versus
    -0.80
    POSITIVE LOGITS
    cond
    1.34
    shared
    1.30
    subject
    1.28
    apply
    1.28
    max
    1.27
    requ
    1.27
    thanks
    1.26
    distance
    1.26
    sorry
    1.25
    begin
    1.25
    Activations Density 0.422%

    No Known Activations