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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. 7-RES-JB
    11. 21412
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    commas in lists or sequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inates
    -0.75
    eny
    -0.70
    idad
    -0.69
    akin
    -0.68
    agin
    -0.68
    ops
    -0.68
    anuts
    -0.68
    iour
    -0.67
    ipers
    -0.66
     fry
    -0.66
    POSITIVE LOGITS
     however
    1.16
     though
    0.76
     moreover
    0.74
     Collider
    0.73
     Torrent
    0.72
     which
    0.71
     Medline
    0.67
     rumors
    0.65
     historians
    0.65
     commenters
    0.65
    Activations Density 0.207%

    No Known Activations