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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. 10685
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    Explanations

    words related to strong emotions or exaggerated adjectives

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and descriptors related to emotions and character traits

    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
    matically
    -0.83
    ajor
    -0.82
    resent
    -0.81
    yrim
    -0.77
     largeDownload
    -0.77
    orously
    -0.77
    lessly
    -0.75
    illary
    -0.72
    owing
    -0.72
    lished
    -0.71
    POSITIVE LOGITS
     Ones
    1.17
    ness
    1.10
     Skies
    1.02
     Bastard
    0.96
     Isles
    0.96
     Mind
    0.95
     Guys
    0.95
     Universe
    0.95
     Monkey
    0.95
     Realms
    0.94
    Activations Density 0.198%

    No Known Activations