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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. 11-RES-JB
    11. 11143
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    Explanations

    words related to increasing or escalating situations

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of inclusion or being included

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     equivalent
    -0.63
    journal
    -0.63
     outfield
    -0.63
     desks
    -0.61
     Jennings
    -0.58
     desk
    -0.57
     uninterrupted
    -0.57
     altern
    -0.57
     buffet
    -0.56
     presiding
    -0.56
    POSITIVE LOGITS
    onsequ
    1.51
    idences
    1.44
    ursion
    1.44
    ursions
    1.43
    ipient
    1.37
    isive
    1.33
    itement
    1.26
    aution
    1.26
    urring
    1.26
    urable
    1.26
    Activations Density 0.014%

    No Known Activations