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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. 6-RES-JB
    11. 10982
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    Explanations

    verbs related to gradual or slow progress or erosion

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to reduction or depletion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amazon
    -0.69
    asus
    -0.68
    weather
    -0.67
    nih
    -0.66
    gemony
    -0.63
    thumbnails
    -0.61
    facing
    -0.61
     Liber
    -0.61
    formation
    -0.60
    ¨
    -0.60
    POSITIVE LOGITS
     vines
    0.74
     scraps
    0.67
     patches
    0.65
     somew
    0.64
    wards
    0.64
     victories
    0.63
     roots
    0.61
     bits
    0.61
     rounds
    0.61
     pts
    0.60
    Activations Density 0.180%

    No Known Activations