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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 10430
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    Explanations

    phrases related to introductory statements indicating the beginning of an article or study

    oai_token-act-pair · gpt-3.5-turbo

    sections that introduce or pose a discussion on a specific topic or article

    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
    scribe
    -0.71
     Others
    -0.66
    iously
    -0.61
    inately
    -0.61
    ulz
    -0.59
    grain
    -0.59
    fine
    -0.59
    Cover
    -0.59
    unt
    -0.58
    ocry
    -0.57
    POSITIVE LOGITS
     however
    1.04
     moreover
    0.80
     though
    0.65
     meanwhile
    0.64
     Carlo
    0.64
     there
    0.64
     wherein
    0.63
     we
    0.62
     Ichigo
    0.62
    there
    0.61
    Activations Density 0.259%

    No Known Activations