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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. 7-RES-JB
    11. 9749
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    Explanations

    references to legal bans or regulations

    oai_token-act-pair · gpt-3.5-turbo

    the presence of sentences or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scourge
    -0.72
     bay
    -0.67
     stout
    -0.63
     hust
    -0.59
     boarded
    -0.59
     surname
    -0.59
     distribut
    -0.58
    tro
    -0.58
     kit
    -0.58
    itory
    -0.58
    POSITIVE LOGITS
     Lastly
    1.26
     Finally
    1.23
     Ultimately
    1.11
     Meanwhile
    1.09
     Eventually
    1.08
     Nonetheless
    1.04
     Fortunately
    1.03
     Luckily
    1.02
     Moreover
    1.00
     Perhaps
    1.00
    Activations Density 0.775%

    No Known Activations