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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. 10-RES-JB
    11. 8100
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    Explanations

    phrases related to inclusivity and groups of people

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "everyone" or "everybody" and inclusivity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ories
    -0.72
    veyard
    -0.59
    tnc
    -0.59
     Testament
    -0.58
     testament
    -0.56
    iger
    -0.55
    word
    -0.55
     Nanto
    -0.55
     Horses
    -0.54
     hints
    -0.54
    POSITIVE LOGITS
     else
    1.90
    else
    1.37
     Else
    1.29
     involved
    1.12
    Else
    1.06
     except
    1.04
     imaginable
    0.99
    omever
    0.96
    soever
    0.94
     who
    0.90
    Activations Density 0.088%

    No Known Activations