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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. 17292
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    INDEX
    Explanations

    adjective-noun pairs conveying strong emphasis or importance

    oai_token-act-pair · gpt-3.5-turbo

    terms that convey authenticity and reality

    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
    ulations
    -0.93
    groups
    -0.93
    units
    -0.90
    ences
    -0.89
    md
    -0.88
    lees
    -0.87
    apps
    -0.84
    stories
    -0.84
    packages
    -0.83
    items
    -0.83
    POSITIVE LOGITS
     contender
    0.93
     reminder
    0.92
     indication
    0.90
     violation
    0.87
     apology
    0.84
    ignment
    0.84
     occurrence
    0.84
     headache
    0.83
     believer
    0.83
     nightmare
    0.82
    Activations Density 0.158%

    No Known Activations