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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. 9981
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    Explanations

    text related to introductory content or informative explanations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Introduction" and variations of it

    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
    rone
    -0.92
    rie
    -0.82
    rage
    -0.77
    rio
    -0.67
    rice
    -0.67
     saline
    -0.64
    rett
    -0.63
    riter
    -0.62
    rier
    -0.62
    ief
    -0.62
    POSITIVE LOGITS
    spection
    1.09
     thereto
    0.95
    matter
    0.92
    spective
    0.82
    xual
    0.73
    PsyNetMessage
    0.69
    plate
    0.69
    ptions
    0.67
     APR
    0.67
     Intro
    0.65
    Activations Density 0.046%

    No Known Activations