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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. 7-RES-JB
    11. 14388
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    Explanations

    phrases indicating a person's occupation or affiliation

    oai_token-act-pair · gpt-3.5-turbo

    references to language proficiency or the absence thereof

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inse
    -0.71
    Initial
    -0.70
     farewell
    -0.69
     gradual
    -0.66
     experimentation
    -0.66
    EVA
    -0.64
     regress
    -0.64
     onwards
    -0.63
     gradually
    -0.63
     stagnation
    -0.62
    POSITIVE LOGITS
    âĺ
    0.83
     ethnic
    0.80
    Ò
    0.75
    76561
    0.73
    \.
    0.71
    âķ
    0.70
    \)
    0.70
     Jewish
    0.70
     descendant
    0.69
    English
    0.67
    Activations Density 0.950%

    No Known Activations