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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. 3-RES-JB
    11. 13020
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    Explanations

    adjectives related to being pleasant and welcoming

    oai_token-act-pair · gpt-3.5-turbo

    descriptions and mentions of friendliness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    liga
    -0.82
    argon
    -0.77
    hner
    -0.75
    âĵĺ
    -0.74
    ©¶æ¥µ
    -0.74
    rast
    -0.73
    ORN
    -0.72
    ember
    -0.72
    hemy
    -0.71
    FT
    -0.70
    POSITIVE LOGITS
     friendly
    0.88
     confines
    0.82
     hello
    0.78
     minded
    0.74
     Friendly
    0.74
     banter
    0.73
     greet
    0.73
    lier
    0.73
     acquaintance
    0.72
     greeting
    0.71
    Activations Density 0.014%

    No Known Activations