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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. 0-RES-JB
    6. 3836
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    Explanations

    incorrectly spelled words

    oai_token-act-pair · gpt-3.5-turbo

    references to correctness or accuracy in actions or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aunt
    -0.79
    ires
    -0.69
    hunt
    -0.65
    assment
    -0.65
    ike
    -0.63
     Rise
    -0.63
    ofi
    -0.59
    enture
    -0.58
    dark
    -0.58
    our
    -0.58
    POSITIVE LOGITS
     correctly
    3.89
     incorrectly
    2.63
     properly
    2.37
     accurately
    2.25
     wisely
    1.90
     wrongly
    1.85
     appropriately
    1.83
     errone
    1.80
     rightly
    1.78
     correct
    1.69
    Activations Density 0.012%

    No Known Activations