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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. 11080
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    Explanations

    keywords related to educational levels and academic achievement, such as "Division I" and "Axis I"

    oai_token-act-pair · gpt-3.5-turbo

    references to NCAA Division I

    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
    Aff
    -0.75
    href
    -0.72
    vim
    -0.71
    netflix
    -0.70
    pool
    -0.70
    Tile
    -0.69
    nick
    -0.68
    iq
    -0.67
    onom
    -0.67
    ãĥ´
    -0.66
    POSITIVE LOGITS
    verages
    0.79
     Skydragon
    0.71
     guiActiveUnfocused
    0.70
    Ĥİ
    0.68
     antit
    0.65
     heroine
    0.64
     supervision
    0.63
     booster
    0.63
     antagonist
    0.62
     condemnation
    0.61
    Activations Density 0.105%

    No Known Activations