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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. 2-RES-JB
    11. 2059
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    Explanations

    mentions of aspirations or desires

    oai_token-act-pair · gpt-3.5-turbo

    expressions of hope or expectations for future outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.80
    SPONSORED
    -0.79
    mint
    -0.75
    Lie
    -0.74
    tis
    -0.72
    mentioned
    -0.72
    Studies
    -0.72
    女
    -0.71
    cise
    -0.70
    sample
    -0.70
    POSITIVE LOGITS
    terday
    0.92
    eful
    0.85
     hopeful
    0.82
     hope
    0.81
     hopes
    0.77
    paces
    0.74
    lessly
    0.73
     Rouhani
    0.71
     Hope
    0.70
     optimistic
    0.69
    Activations Density 0.011%

    No Known Activations