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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. 3560
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    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "for" indicating purpose or intention

    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
    omi
    -0.72
    clair
    -0.68
    grand
    -0.68
    æĺ¯
    -0.67
    angelo
    -0.66
    nil
    -0.65
    edin
    -0.65
    nikov
    -0.64
    orbit
    -0.64
    hao
    -0.62
    POSITIVE LOGITS
     purposes
    1.15
    geries
    1.10
    cible
    1.03
    bidden
    1.01
     instance
    0.97
     starters
    0.94
     sake
    0.92
    gery
    0.92
    cing
    0.91
    aging
    0.90
    Activations Density 0.294%

    No Known Activations