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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. 10-RES-JB
    11. 6132
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    Explanations

    positive expressions of affection or admiration towards various things or people

    oai_token-act-pair · gpt-3.5-turbo

    expressions of love or strong affection

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    DragonMagazine
    -0.89
    acent
    -0.83
    culosis
    -0.78
    Login
    -0.76
    Enlarge
    -0.73
    odan
    -0.73
    enei
    -0.72
    til
    -0.72
    undred
    -0.71
    izen
    -0.70
    POSITIVE LOGITS
     watching
    0.98
     seeing
    0.94
     hearing
    0.87
     reading
    0.85
     experimenting
    0.85
     listening
    0.83
     how
    0.82
    birds
    0.82
     surprises
    0.81
     playing
    0.80
    Activations Density 0.064%

    No Known Activations