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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. 9-RES-JB
    6. 642
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    Explanations

    keywords related to specific people or entities called "Ag"

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of the token representing a specific category or type, likely indicating instances or mentions of entities or classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dare
    -0.78
     Jenner
    -0.75
     Shroud
    -0.64
     jumper
    -0.63
     sight
    -0.63
     Cors
    -0.61
     Tune
    -0.60
    éĹĺ
    -0.60
     directions
    -0.60
    strap
    -0.59
    POSITIVE LOGITS
    reement
    1.41
    reements
    1.30
    reed
    1.21
    encies
    1.13
    raham
    1.07
    nostic
    1.05
    ree
    1.04
    ressive
    1.02
    atha
    1.01
    rees
    1.00
    Activations Density 0.042%

    No Known Activations