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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. 3-RES-JB
    11. 24482
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    Explanations

    sentences describing different visual scenes

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "with."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ights
    -0.65
    æ©Ł
    -0.65
    obi
    -0.62
    press
    -0.61
    mart
    -0.60
    ati
    -0.60
    fair
    -0.59
    handler
    -0.58
    ovich
    -0.57
    ãģ®éŃĶ
    -0.57
    POSITIVE LOGITS
    stood
    1.51
     regard
    1.47
     regards
    1.45
    drawn
    1.20
    draw
    1.19
     impunity
    1.19
    standing
    1.18
     respect
    1.13
    holding
    1.04
     dignity
    0.85
    Activations Density 0.433%

    No Known Activations