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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. 7-RES-JB
    11. 13692
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    Explanations

    phrases related to risks and associated consequences

    oai_token-act-pair · gpt-3.5-turbo

    topics related to risks and consequences associated with various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issance
    -0.87
    books
    -0.85
    iform
    -0.76
    sonian
    -0.76
    OLOGY
    -0.75
    AppData
    -0.75
    taboola
    -0.74
    psc
    -0.74
    Song
    -0.74
    Tip
    -0.73
    POSITIVE LOGITS
     ingest
    0.99
     exposure
    0.97
     inaction
    0.90
     owning
    0.89
     incurred
    0.88
     negligence
    0.85
     Fukushima
    0.85
     neglect
    0.84
     accessing
    0.84
     undertaking
    0.83
    Activations Density 0.286%

    No Known Activations