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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. 5-RES-JB
    6. 8273
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    INDEX
    Explanations

    instances of mentions of issues or problems

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate complex societal or ethical issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ournal
    -0.80
    ricanes
    -0.79
    thora
    -0.78
    gres
    -0.77
    undreds
    -0.75
    tsky
    -0.75
    uctions
    -0.74
    ousands
    -0.74
    ques
    -0.74
    aults
    -0.73
    POSITIVE LOGITS
     albeit
    0.87
     insofar
    0.83
     hence
    0.79
    albeit
    0.78
     therefore
    0.77
     whereby
    0.77
     regardless
    0.70
     although
    0.69
     unlike
    0.68
     wherein
    0.68
    Activations Density 0.688%

    No Known Activations