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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. 9-RES-JB
    11. 4704
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to legal cases or court rulings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     evenings
    -0.80
    wcs
    -0.70
     pointers
    -0.64
    theless
    -0.63
    colour
    -0.63
    ngth
    -0.62
    autions
    -0.60
    duino
    -0.60
     mouths
    -0.59
    behind
    -0.59
    POSITIVE LOGITS
    .,
    0.84
    iii
    0.79
    ented
    0.78
     supra
    0.76
    lan
    0.73
    gow
    0.70
    Sphere
    0.68
    arsity
    0.68
    III
    0.65
    orporated
    0.65
    Activations Density 0.020%

    No Known Activations