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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. 13389
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    Explanations

    mentions of the word "coping" or variations like "cop^ed" and "cop^ing."

    oai_token-act-pair · gpt-3.5-turbo

    words related to actions involving movement or changes in state

    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
    ships
    -0.85
    bread
    -0.71
    grave
    -0.71
    OUS
    -0.70
    ership
    -0.66
    maxwell
    -0.62
    aspx
    -0.62
    CAP
    -0.62
    ĪĴ
    -0.62
    phasis
    -0.61
    POSITIVE LOGITS
    onga
    0.76
    dinand
    0.71
    lus
    0.70
    secution
    0.68
     tun
    0.66
    olitan
    0.65
    olicy
    0.64
    ãĥ
    0.63
     kidney
    0.62
    oglu
    0.62
    Activations Density 0.008%

    No Known Activations