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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. 7-RES-JB
    11. 3740
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    Explanations

    phrases related to financial and health concerns

    oai_token-act-pair · gpt-3.5-turbo

    words pertaining to financial circumstances or economic concerns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     fascination
    -0.68
     Axel
    -0.62
     Mush
    -0.62
     Canaan
    -0.61
     uranium
    -0.60
     Stats
    -0.60
     Crusher
    -0.59
     Yor
    -0.59
     Rosenthal
    -0.59
     tuna
    -0.57
    POSITIVE LOGITS
    ufact
    0.94
    tre
    0.86
    own
    0.85
    tarian
    0.77
    independence
    0.77
    tu
    0.76
    sic
    0.76
    meric
    0.76
    iversary
    0.76
    defined
    0.75
    Activations Density 0.376%

    No Known Activations