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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. 4-RES-JB
    11. 20002
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    Explanations

    proper nouns related to business or individuals

    oai_token-act-pair · gpt-3.5-turbo

    the name "Ernst" and related variations

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

    No Comments

    Negative Logits
    ulet
    -0.74
    oling
    -0.72
    bara
    -0.71
    tumblr
    -0.68
    ilk
    -0.66
     mainland
    -0.66
    mits
    -0.65
    duct
    -0.65
    chest
    -0.64
    culture
    -0.63
    POSITIVE LOGITS
     Ernst
    1.10
    indal
    0.88
    sson
    0.79
    mann
    0.78
     Ludwig
    0.72
     &
    0.72
    enhagen
    0.71
     Thomson
    0.70
     Fischer
    0.70
    igible
    0.69
    Activations Density 0.010%

    No Known Activations