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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. 9-RES-JB
    6. 11079
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    Explanations

    phrases surrounded by quotation marks indicating a direct quote

    oai_token-act-pair · gpt-3.5-turbo

    quoted speech or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Ross
    -0.77
     rul
    -0.74
     Versus
    -0.74
     Battles
    -0.73
     derby
    -0.72
     Mehran
    -0.72
     XI
    -0.71
     rall
    -0.70
     Wi
    -0.70
     affiliate
    -0.69
    POSITIVE LOGITS
    absolutely
    1.75
    completely
    1.63
    very
    1.61
    pretty
    1.61
    probably
    1.61
    extremely
    1.59
    almost
    1.54
    highly
    1.52
    quite
    1.52
    great
    1.50
    Activations Density 0.129%

    No Known Activations