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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. 8-RES-JB
    6. 14799
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    Explanations

    examples of technical terminology or jargon, such as abbreviations and specialized terms

    oai_token-act-pair · gpt-3.5-turbo

    references to external conditions or entities affecting situations

    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
     Conversation
    -0.65
     unpre
    -0.63
     reinforcements
    -0.57
     lifes
    -0.57
     transport
    -0.56
     sleeper
    -0.55
     provisional
    -0.54
     uproar
    -0.54
     tongues
    -0.54
     Subtle
    -0.54
    POSITIVE LOGITS
    pecially
    1.05
    typically
    0.86
    lev
    0.82
    -)
    0.79
    usually
    0.79
    hing
    0.78
    .,
    0.78
    prising
    0.78
    viously
    0.77
    including
    0.77
    Activations Density 0.059%

    No Known Activations