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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. 9-RES-JB
    11. 19752
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    Explanations

    phrases related to groups of people or companionship

    oai_token-act-pair · gpt-3.5-turbo

    references to groups of people and their relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Tokens referring a related person / people, following " and"

    Explanation Uploaded by User
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •L9 resid features following 'and'

    No Comments

    Negative Logits
    uncture
    -0.64
    ension
    -0.63
     *)
    -0.62
    Specific
    -0.58
    ":"/
    -0.58
     Coil
    -0.57
    )?
    -0.57
    ?),
    -0.57
    urrence
    -0.57
    mination
    -0.56
    POSITIVE LOGITS
     alike
    1.02
     were
    0.88
    mates
    0.86
     respectively
    0.85
     are
    0.83
     intend
    0.80
     embarked
    0.79
     sailed
    0.74
     have
    0.71
     weren
    0.70
    Activations Density 0.178%

    No Known Activations