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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. 3144
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    INDEX
    Explanations

    mentions of demonization or demonizing in text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "demon" and its variations in various contexts

    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
    ippi
    -0.63
    arella
    -0.62
    ills
    -0.61
     Dinner
    -0.61
    abouts
    -0.60
     Bottom
    -0.60
    RAFT
    -0.59
     Morales
    -0.58
    ï¸
    -0.57
     Innov
    -0.55
    POSITIVE LOGITS
    stration
    1.63
    strate
    1.28
    iac
    1.15
    ization
    1.10
    oid
    1.04
    isation
    1.04
    ising
    1.02
    izing
    0.99
    str
    0.99
    ciples
    0.98
    Activations Density 0.038%

    No Known Activations