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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. 6-RES-JB
    11. 4220
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    Explanations

    specific mentions of items on a list

    oai_token-act-pair · gpt-3.5-turbo

    mentions of lists or rankings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elf
    -0.68
     Bald
    -0.66
     Mul
    -0.63
     livestream
    -0.63
    dayName
    -0.61
     cop
    -0.61
     interf
    -0.60
    isin
    -0.59
     liaison
    -0.59
    imar
    -0.58
    POSITIVE LOGITS
    elight
    0.95
     category
    0.81
    geist
    0.80
    osphere
    0.78
    ģĸ
    0.73
    uminati
    0.70
    ilogy
    0.70
    ottest
    0.70
    busters
    0.70
     hierarchy
    0.69
    Activations Density 0.126%

    No Known Activations