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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. 11-RES-JB
    11. 23148
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    Explanations

    phrases related to instructions or guidance on how to perform certain actions

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to actions and processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Ö¼
    -0.73
     incidentally
    -0.66
    nery
    -0.63
    bryce
    -0.63
    cffffcc
    -0.61
    way
    -0.61
    emonium
    -0.61
    nothing
    -0.60
    Enlarge
    -0.60
    few
    -0.60
    POSITIVE LOGITS
     yourself
    0.99
     your
    0.96
     oneself
    0.93
     rapport
    0.77
    uate
    0.72
     these
    0.72
     Yourself
    0.72
     efficiently
    0.71
     effective
    0.71
     them
    0.69
    Activations Density 0.287%

    No Known Activations