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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. 2-RES-JB
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    Explanations

    phrases related to gender identity in the context of facilities such as restrooms and locker rooms

    oai_token-act-pair · gpt-3.5-turbo
    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
     extracting
    -0.68
     Camb
    -0.64
     HM
    -0.64
    EH
    -0.64
     Lans
    -0.64
    insula
    -0.64
     Exc
    -0.62
     avalanche
    -0.62
    hower
    -0.61
    MER
    -0.61
    POSITIVE LOGITS
    gender
    1.11
     stereotypes
    1.11
     transgender
    1.02
    femin
    1.00
    Gender
    0.99
     genders
    0.98
    endered
    0.97
     Transgender
    0.94
     stereotyp
    0.92
     stereotypical
    0.91
    Activations Density 0.263%

    No Known Activations