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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. 11-RES-JB
    11. 1958
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    Explanations

    phrases related to significant or impactful events

    oai_token-act-pair · gpt-3.5-turbo

    references to large-scale entities or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cah
    -0.69
     Odin
    -0.65
     Cla
    -0.65
     Zombies
    -0.64
     limbo
    -0.64
     McGregor
    -0.63
     Fidel
    -0.63
     kidding
    -0.63
     Bakr
    -0.62
     Juliet
    -0.62
    POSITIVE LOGITS
    scale
    1.63
    bodied
    1.50
    ticket
    1.38
    budget
    1.36
    dollar
    1.33
    picture
    1.33
    sounding
    1.29
    caliber
    1.29
    government
    1.28
    enough
    1.25
    Activations Density 0.037%

    No Known Activations