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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. 17893
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    INDEX
    Explanations

    attributes that describe different groups of people, such as genders, ages, races, and backgrounds

    oai_token-act-pair · gpt-3.5-turbo

    terms related to inclusivity across various demographics

    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
    Not in Any Lists

    No Comments

    Negative Logits
    rique
    -0.68
    ridor
    -0.67
    rence
    -0.66
    ãĥį
    -0.63
    =-=-
    -0.61
    ãĥ¼ãĥ³
    -0.60
    tein
    -0.59
    CLAIM
    -0.59
    OIL
    -0.58
    oute
    -0.58
    POSITIVE LOGITS
     imaginable
    1.07
    cale
    1.02
    paces
    0.97
     sexes
    0.90
     ranging
    0.87
    chool
    0.86
     vying
    0.86
    etting
    0.85
    pace
    0.81
    mith
    0.81
    Activations Density 0.199%

    No Known Activations