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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. 8-RES-JB
    11. 16855
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    Explanations

    mentions of universities and sports teams

    oai_token-act-pair · gpt-3.5-turbo

    mentions of universities and notable numerical statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    -)
    -0.63
     *)
    -0.58
    )</
    -0.58
     etc
    -0.58
     meanwhile
    -0.56
    yip
    -0.55
     '[
    -0.55
     indo
    -0.55
     caut
    -0.54
     ?)
    -0.53
    POSITIVE LOGITS
    Reviewer
    0.57
    vernment
    0.54
    eming
    0.53
    ULTS
    0.53
    brid
    0.51
    FLAG
    0.51
    matched
    0.50
    RNA
    0.49
    estyles
    0.49
    ople
    0.48
    Activations Density 1.795%

    No Known Activations