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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. 21911
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    Explanations

    interrogative sentences about identity or unknown entities

    oai_token-act-pair · gpt-3.5-turbo

    the word "who" indicating questions of identity or responsibility

    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
    Not in Any Lists

    No Comments

    Negative Logits
    MER
    -0.87
    BACK
    -0.72
    OG
    -0.67
    OOL
    -0.67
    interstitial
    -0.65
     Glob
    -0.65
     Rye
    -0.62
    ENG
    -0.62
    URES
    -0.62
    dry
    -0.60
    POSITIVE LOGITS
    soever
    1.03
     else
    1.00
     exactly
    0.83
    abouts
    0.80
     vou
    0.77
     cares
    0.76
     owns
    0.76
     redes
    0.75
     cared
    0.75
    ever
    0.74
    Activations Density 0.029%

    No Known Activations