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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. 0-RES-JB
    11. 13353
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    Explanations

    numbers associated with percentages

    oai_token-act-pair · gpt-3.5-turbo

    the symbol "ľ" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Convention
    -0.71
     Declaration
    -0.68
     CGI
    -0.67
     plan
    -0.66
     authorization
    -0.65
     front
    -0.65
     options
    -0.63
     division
    -0.63
     emb
    -0.62
     momentum
    -0.60
    POSITIVE LOGITS
    ľ
    4.33
    Ŀ
    1.96
    ķ
    1.95
    Ľ
    1.92
    ĺ
    1.91
    ļ
    1.87
    Ķ
    1.87
    ŀ
    1.84
    ł
    1.79
    ®
    1.76
    Activations Density 0.345%

    No Known Activations