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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. 21294
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    Explanations

    names of individuals starting with the letter "O" and "G" with varying intensities of activation

    oai_token-act-pair · gpt-3.5-turbo

    names of people, particularly those with the first name "Kevin" or prominent figures with specific initials

    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
    theless
    -0.92
    ACTED
    -0.84
    blem
    -0.68
     procedural
    -0.66
     Scotia
    -0.64
    ISION
    -0.61
    istration
    -0.60
     concess
    -0.60
    minecraft
    -0.59
    ··
    -0.59
    POSITIVE LOGITS
    acca
    0.85
    ohan
    0.77
    essen
    0.73
    arre
    0.72
    aney
    0.71
    lear
    0.71
    reau
    0.71
    agos
    0.68
    angan
    0.68
    banks
    0.67
    Activations Density 0.149%

    No Known Activations