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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 23383
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    Explanations

    words related to beliefs, particularly those associated with generalized beliefs about certain social groups and educational contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to beliefs and attitudes, particularly regarding social issues

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

    No Comments

    Negative Logits
    amen
    -0.81
    ded
    -0.71
    aman
    -0.68
     Amen
    -0.68
    Delivery
    -0.68
    dan
    -0.67
    pletion
    -0.67
     Corps
    -0.64
    amaz
    -0.64
     Mamm
    -0.63
    POSITIVE LOGITS
     beliefs
    0.93
    linger
    0.91
     prejudices
    0.85
    mith
    0.82
    ystem
    0.80
     notions
    0.79
     biases
    0.78
    ettings
    0.75
     attitudes
    0.75
    hips
    0.75
    Activations Density 0.055%

    No Known Activations