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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 11506
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    INDEX
    Explanations

    mentions of unfortunate events or circumstances

    oai_token-act-pair · gpt-3.5-turbo

    expressions of misfortune or regret

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ynthesis
    -0.87
    venants
    -0.79
    alach
    -0.78
    aver
    -0.75
    runners
    -0.74
    cellent
    -0.73
    runner
    -0.73
    paio
    -0.72
    tein
    -0.72
    orney
    -0.72
    POSITIVE LOGITS
     circumstance
    0.84
     unfortunate
    0.83
     adolesc
    0.82
     consequence
    0.77
     circumstances
    0.76
     souls
    0.72
     accidents
    0.70
     fools
    0.70
     fate
    0.70
     Tales
    0.69
    Activations Density 0.019%

    No Known Activations