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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. 2257
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    Explanations

    phrases or words related to the concept of discussing or analyzing a complete or comprehensive situation or thing

    oai_token-act-pair · gpt-3.5-turbo

    phrases and references related to "the whole thing," indicating a focus on overarching concepts or ideas within the text

    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
    favorite
    -0.64
     occasional
    -0.61
     neighbor
    -0.60
    cest
    -0.59
     Cutter
    -0.59
    sels
    -0.57
    odan
    -0.57
    earcher
    -0.57
     Friendly
    -0.56
    sell
    -0.56
    POSITIVE LOGITS
     except
    0.91
    代
    0.83
     revolves
    0.79
     imaginable
    0.77
     Including
    0.74
    LES
    0.70
    âĶĢâĶĢ
    0.70
    Tes
    0.67
    REM
    0.65
     depended
    0.64
    Activations Density 0.156%

    No Known Activations