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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. 10-RES-JB
    6. 19323
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    INDEX
    Explanations

    exact phrases or exact sequences of words

    oai_token-act-pair · gpt-3.5-turbo

    references to governmental actions and oversight

    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
     whilst
    -1.15
    iour
    -0.94
     organise
    -0.92
    thood
    -0.90
     Whilst
    -0.89
    Ò
    -0.86
     realise
    -0.82
    avour
    -0.82
     Firstly
    -0.81
    morrow
    -0.81
    POSITIVE LOGITS
     feds
    1.42
     DOJ
    1.41
     Pentagon
    1.40
     Obama
    1.36
     Congressional
    1.36
     FBI
    1.34
     ACLU
    1.33
     Department
    1.31
     IRS
    1.27
     federal
    1.26
    Activations Density 0.475%

    No Known Activations