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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. 10-RES-JB
    11. 1140
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    Explanations

    names of people or characters associated with specific actions or qualities

    oai_token-act-pair · gpt-3.5-turbo

    names and pronouns associated with individuals in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cknow
    -0.73
     Include
    -0.68
    éĹĺ
    -0.67
     Silence
    -0.66
    irmation
    -0.64
     throne
    -0.64
    canon
    -0.64
     monarchy
    -0.63
     Regions
    -0.62
    ablishment
    -0.61
    POSITIVE LOGITS
     wandered
    1.41
     volunteered
    1.29
     participated
    1.22
     enrolled
    1.20
     underwent
    1.18
     complained
    1.16
     wore
    1.16
     dreamed
    1.15
     stumbled
    1.11
     suffered
    1.11
    Activations Density 0.431%

    No Known Activations