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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. 7-RES-JB
    11. 7828
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    Explanations

    numbers and quantifiers indicating amounts or quantities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "one" and various numerical values associated with time frames or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abee
    -0.78
    merce
    -0.74
    heter
    -0.72
    uberty
    -0.70
    heit
    -0.69
    hower
    -0.67
    Sport
    -0.67
    early
    -0.65
    aban
    -0.65
    eper
    -0.65
    POSITIVE LOGITS
     ambitions
    0.92
     chance
    0.88
     knack
    0.84
     vacancies
    0.84
    stood
    0.81
     advantages
    0.81
     reputation
    0.79
     fewer
    0.78
     aspirations
    0.78
     followers
    0.77
    Activations Density 0.200%

    No Known Activations