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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. 1-RES-JB
    11. 9575
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    INDEX
    Explanations

    mentions of jellyfish

    oai_token-act-pair · gpt-3.5-turbo

    references to jellyfish

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.70
    heny
    -0.68
     Schools
    -0.65
     Newsp
    -0.65
    ioch
    -0.64
    States
    -0.63
    ————————————————
    -0.63
    UCT
    -0.63
    ItemImage
    -0.62
    ressive
    -0.62
    POSITIVE LOGITS
    bean
    1.54
    beans
    1.38
    fish
    1.35
     jelly
    1.16
     beans
    1.08
     bean
    1.07
     Jelly
    0.99
     Bean
    0.98
     Beans
    0.96
     sponge
    0.82
    Activations Density 0.009%

    No Known Activations