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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. 0-RES-JB
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    Explanations

    phrases related to astronomical observations and celestial bodies, particularly ones ending in 'bul' and 'ae'

    oai_token-act-pair · gpt-3.5-turbo

    references to planetary nebulae

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     McKenzie
    -0.83
     Nat
    -0.75
     Own
    -0.68
     fathers
    -0.66
     uncons
    -0.66
     Dominion
    -0.66
     Davidson
    -0.65
     Vaughan
    -0.64
     rents
    -0.62
     Sea
    -0.61
    POSITIVE LOGITS
    bul
    4.29
    Bul
    2.34
     bulb
    1.83
     bulbs
    1.55
    bol
    1.25
     Bullet
    1.21
     bullet
    1.21
    cyl
    1.21
    bang
    1.17
     Bullets
    1.10
    Activations Density 0.014%

    No Known Activations