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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    references to dolphins, including mentions of their training, behavior, and interactions with humans

    oai_token-act-pair · gpt-3.5-turbo

    mentions of dolphins

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.83
     Flavoring
    -0.75
    ablishment
    -0.70
    haar
    -0.70
    ICA
    -0.68
    chen
    -0.67
    ãĥ´ãĤ¡
    -0.67
    rade
    -0.65
    DIR
    -0.65
    代
    -0.64
    POSITIVE LOGITS
     dolphin
    1.30
     dolphins
    1.18
    iform
    0.97
     whale
    0.95
    arium
    0.88
    olphin
    0.82
    odon
    0.80
     whales
    0.77
     Swim
    0.76
    bone
    0.75
    Activations Density 0.008%

    No Known Activations