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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. 6-RES-JB
    11. 13905
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    Explanations

    names of individuals ending in 'er'

    oai_token-act-pair · gpt-3.5-turbo

    names of people or identifiable individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ACTED
    -0.69
     envy
    -0.64
     territorial
    -0.59
    姫
    -0.59
    BOOK
    -0.57
    ITED
    -0.57
    merce
    -0.57
    CRIP
    -0.56
     rook
    -0.56
    çķ
    -0.56
    POSITIVE LOGITS
    enberg
    0.88
    inger
    0.85
    ney
    0.83
    eman
    0.82
    nick
    0.81
    zel
    0.79
    ley
    0.79
    olla
    0.78
    iger
    0.77
    cko
    0.77
    Activations Density 0.243%

    No Known Activations