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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. 1-RES-JB
    11. 7034
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    Explanations

    phrases related to the usage and effects of pesticides and herbicides

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases related to specific types of substances or classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bite
    -0.73
    ippi
    -0.71
    agne
    -0.71
    agine
    -0.70
     Ples
    -0.68
    Jordan
    -0.67
    senal
    -0.66
    perse
    -0.66
    ĸļ
    -0.66
    Ub
    -0.65
    POSITIVE LOGITS
    orical
    0.97
    ateg
    0.87
    istics
    0.83
    oric
    0.78
    orically
    0.78
    ulative
    0.76
    ļé
    0.76
     categ
    0.74
    estic
    0.74
    ENCY
    0.74
    Activations Density 0.021%

    No Known Activations