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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. 4-RES-JB
    11. 1801
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    oai_token-act-pair · gpt-3.5-turbo

    sections or headings that indicate topics or categories

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

    No Comments

    Negative Logits
    otos
    -0.89
    atur
    -0.74
     corrid
    -0.73
     promise
    -0.72
    arist
    -0.70
    aping
    -0.70
    ript
    -0.70
    atten
    -0.69
    yrus
    -0.68
    olis
    -0.64
    POSITIVE LOGITS
    Topics
    1.34
    afety
    0.95
    matter
    0.77
    hedral
    0.75
    Questions
    0.72
    encies
    0.72
    htaking
    0.68
    Topic
    0.68
    ername
    0.68
    ioned
    0.67
    Activations Density 0.013%

    No Known Activations