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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. 13231
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    INDEX
    Explanations

    positive or negative adjectives

    oai_token-act-pair · gpt-3.5-turbo

    evaluative language expressing opinions or judgments about people or situations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    osponsors
    -0.85
    asury
    -0.82
    ernels
    -0.82
    redit
    -0.82
    izons
    -0.81
     globally
    -0.78
    itors
    -0.75
     franchises
    -0.74
     Historically
    -0.74
    reditary
    -0.74
    POSITIVE LOGITS
     odor
    0.98
     attire
    0.97
     souven
    0.94
     smell
    0.93
     composure
    0.93
     sensation
    0.89
     excitement
    0.89
     sighting
    0.87
     eerie
    0.87
     erection
    0.86
    Activations Density 0.656%

    No Known Activations