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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    contractions of "do not" where the contraction "don't" is followed by a verb

    oai_token-act-pair · gpt-3.5-turbo

    the term "don't" in various contexts and formulations

    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
    20439
    -0.67
    aterasu
    -0.65
    cases
    -0.59
    steps
    -0.56
    pires
    -0.56
    borne
    -0.55
    ilateral
    -0.54
    ipes
    -0.54
    ued
    -0.54
    Subject
    -0.54
    POSITIVE LOGITS
     don
    2.81
     dont
    2.15
     aren
    1.96
     DON
    1.86
     haven
    1.83
    don
    1.83
     didn
    1.69
     doesn
    1.64
    Don
    1.57
     weren
    1.55
    Activations Density 0.057%

    No Known Activations