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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. 6999
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    INDEX
    Explanations

    references to specific individuals or people

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "person" and its variations to identify individuals mentioned in the text

    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
     Parables
    -0.92
    tnc
    -0.81
     IPM
    -0.74
     Supplement
    -0.70
    âĺħâĺħ
    -0.69
    osterone
    -0.65
    Decre
    -0.64
    DOS
    -0.63
     habitat
    -0.63
     Reef
    -0.62
    POSITIVE LOGITS
    uscript
    0.90
    afort
    0.83
     who
    0.83
    behind
    0.83
     implicated
    0.82
     smugglers
    0.82
     whom
    0.78
     testifying
    0.76
     authorised
    0.75
     involved
    0.74
    Activations Density 0.140%

    No Known Activations