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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. 7-RES-JB
    11. 11485
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    Explanations

    structured data marked by specific characters

    oai_token-act-pair · gpt-3.5-turbo

    words associated with artistic and creative expressions or relevant subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tremend
    -0.69
     intending
    -0.68
     estimating
    -0.65
     footing
    -0.63
     streng
    -0.63
     inward
    -0.62
     herein
    -0.62
     undergoing
    -0.62
     due
    -0.61
     fres
    -0.61
    POSITIVE LOGITS
    etc
    0.95
    Associated
    0.90
    Pand
    0.86
    Others
    0.86
    Freedom
    0.84
    Rush
    0.79
    Unknown
    0.79
    Newsletter
    0.78
    Slot
    0.77
    whatever
    0.76
    Activations Density 0.229%

    No Known Activations