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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. 2903
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    Explanations

    surnames or last names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or significant names in a narrative context

    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
    BRE
    -0.57
     rainbow
    -0.57
     receptive
    -0.56
     fetch
    -0.56
    uminati
    -0.55
    initions
    -0.55
     CFL
    -0.54
     therapeutic
    -0.53
     impair
    -0.53
     Celest
    -0.53
    POSITIVE LOGITS
    enegger
    0.79
    >.
    0.76
     said
    0.74
     told
    0.74
     replied
    0.74
     (@
    0.73
     joked
    0.72
     says
    0.71
     Says
    0.71
     rhet
    0.69
    Activations Density 0.330%

    No Known Activations