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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. 14940
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    INDEX
    Explanations

    mentions of childhood-related experiences or memories

    oai_token-act-pair · gpt-3.5-turbo

    references to childhood experiences and developments

    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
    phabet
    -0.80
    andum
    -0.78
    DAQ
    -0.74
    oples
    -0.72
    atility
    -0.70
    abases
    -0.69
    olulu
    -0.68
    annis
    -0.67
    daq
    -0.67
    essen
    -0.66
    POSITIVE LOGITS
     Childhood
    0.85
     childhood
    0.85
    stones
    0.79
     leukemia
    0.78
     Memories
    0.77
    tek
    0.73
     memories
    0.72
     innocence
    0.72
    dream
    0.69
    ishly
    0.69
    Activations Density 0.011%

    No Known Activations