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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. 19762
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    Explanations

    references to harmful substances or situations

    oai_token-act-pair · gpt-3.5-turbo

    references to toxic substances or environments

    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
    FORE
    -0.74
    ploma
    -0.69
    Untitled
    -0.69
    UTERS
    -0.69
    LEASE
    -0.68
    zzi
    -0.68
    365
    -0.68
    bler
    -0.67
    HCR
    -0.67
    BO
    -0.66
    POSITIVE LOGITS
     masculinity
    1.03
    ologist
    1.00
    ological
    0.99
     fumes
    0.97
    ology
    0.95
     poisoning
    0.94
    oxic
    0.94
     waste
    0.93
     substances
    0.92
    ologically
    0.91
    Activations Density 0.014%

    No Known Activations