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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. 4920
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    Explanations

    numbers related to quantities or statistics

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data and statistics related to people or entities

    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
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    No Comments

    Negative Logits
    hood
    -0.72
    most
    -0.64
    bent
    -0.63
    zed
    -0.62
     wonders
    -0.61
    «ĺ
    -0.60
     itch
    -0.60
     happiest
    -0.59
    00000
    -0.57
    DragonMagazine
    -0.56
    POSITIVE LOGITS
     males
    0.95
     male
    0.93
     female
    0.89
     females
    0.86
     women
    0.81
     concentrated
    0.76
     indoors
    0.74
     clustered
    0.74
    female
    0.71
     Caucas
    0.70
    Activations Density 0.674%

    No Known Activations