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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. 14498
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    Explanations

    first person pronouns and associated verbs expressing personal actions

    oai_token-act-pair · gpt-3.5-turbo

    first-person and second-person pronouns

    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
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    No Comments

    Negative Logits
    quartered
    -0.74
    rehend
    -0.74
    imum
    -0.71
    aign
    -0.71
    20439
    -0.68
    cephal
    -0.66
    angan
    -0.62
    handled
    -0.62
     Virtue
    -0.61
    ignt
    -0.61
    POSITIVE LOGITS
    'll
    0.79
    iral
    0.74
     forgot
    0.73
     kidding
    0.73
    're
    0.73
    've
    0.72
     ain
    0.71
     vom
    0.69
     Didn
    0.68
     Naw
    0.68
    Activations Density 0.306%

    No Known Activations