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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. 6-RES-JB
    11. 354
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    Explanations

    words related to evaluation or judgment

    oai_token-act-pair · gpt-3.5-turbo

    references to abstract concepts or characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    uristic
    -0.69
    Topics
    -0.69
    ulner
    -0.67
    erella
    -0.64
    ronic
    -0.64
    ernel
    -0.62
    bots
    -0.62
     Uriel
    -0.61
    Roy
    -0.61
    onite
    -0.60
    POSITIVE LOGITS
     midst
    0.98
     periphery
    0.92
     context
    0.89
     guise
    0.87
     meantime
    0.85
     vicinity
    0.84
     circumstances
    0.82
     nutshell
    0.79
     absence
    0.79
     vein
    0.77
    Activations Density 0.375%

    No Known Activations