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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
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    Explanations

    phrases related to intense interest or preoccupation with something

    oai_token-act-pair · gpt-3.5-turbo

    references to obsession or excessive fixation on various subjects

    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
    stood
    -0.86
     Pesh
    -0.69
    reens
    -0.66
    ĻĤ
    -0.63
    ħ
    -0.62
    casts
    -0.60
    ND
    -0.60
    OUT
    -0.60
     angels
    -0.57
     Kavanaugh
    -0.57
    POSITIVE LOGITS
    ively
    0.89
    ishly
    0.88
     obsess
    0.84
    ulously
    0.79
     obsessed
    0.79
     fascinated
    0.78
     obsession
    0.77
     fascination
    0.73
    uously
    0.73
    ilyn
    0.72
    Activations Density 0.015%

    No Known Activations