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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. 6-RES-JB
    11. 15220
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    INDEX
    Explanations

    financial terms and numerical figures

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to accounting and proportions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urn
    -0.79
    rouse
    -0.70
    jen
    -0.70
    Lab
    -0.69
    jab
    -0.67
     resil
    -0.66
    Reloaded
    -0.63
    mares
    -0.62
    ikers
    -0.62
    fml
    -0.62
    POSITIVE LOGITS
     billions
    0.72
    Ĥª
    0.70
     variance
    0.69
    utive
    0.67
     some
    0.66
     millions
    0.66
    imental
    0.66
     determining
    0.65
    tics
    0.65
    vich
    0.64
    Activations Density 0.044%

    No Known Activations