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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. 11-RES-JB
    11. 12210
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    INDEX
    Explanations

    adjectives and nouns used together to form descriptive phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of media, storytelling, and common societal themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    arers
    -0.94
    okers
    -0.86
     detectors
    -0.85
    osponsors
    -0.84
    chains
    -0.84
    ittees
    -0.84
    aturdays
    -0.83
    devices
    -0.83
    angers
    -0.82
     Persons
    -0.82
    POSITIVE LOGITS
     goodness
    1.10
     carnage
    1.00
     mayhem
    0.98
     madness
    0.95
     noise
    0.93
     crap
    0.89
     misery
    0.89
    stuff
    0.89
     nonsense
    0.89
     brilliance
    0.88
    Activations Density 0.480%

    No Known Activations