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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. 1820
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    INDEX
    Explanations

    statements expressing personal preferences or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong personal identity and self-description

    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
     disappear
    -0.69
     vanish
    -0.66
     indefinitely
    -0.66
     scrimmage
    -0.66
     Regions
    -0.64
    VERTISEMENT
    -0.64
     advances
    -0.63
     allocations
    -0.62
    enges
    -0.62
    çķ
    -0.61
    POSITIVE LOGITS
     lucky
    0.93
     believer
    0.91
     myself
    0.91
     fortunate
    0.84
     proud
    0.80
    opic
    0.76
     skept
    0.73
     obsessed
    0.73
     skeptical
    0.72
    strong
    0.71
    Activations Density 0.230%

    No Known Activations