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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. 1-RES-JB
    11. 22218
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    Explanations

    terms related to new individuals or beginners in a setting or community

    oai_token-act-pair · gpt-3.5-turbo

    mentions of newcomers and beginners

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orie
    -0.91
    ame
    -0.78
    ories
    -0.76
    oret
    -0.67
    ima
    -0.65
    orter
    -0.65
    uyomi
    -0.64
    amera
    -0.64
    actory
    -0.63
    imon
    -0.63
    POSITIVE LOGITS
     beginners
    0.98
     newcomer
    0.94
     newcomers
    0.89
     entrants
    0.89
    theless
    0.88
     Begin
    0.78
     Beware
    0.75
     beginner
    0.75
     inexper
    0.74
    OSED
    0.74
    Activations Density 0.015%

    No Known Activations