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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. 8-RES-JB
    11. 803
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    Explanations

    words related to requests or commands

    oai_token-act-pair · gpt-3.5-turbo

    interrogative and demonstrative pronouns or phrases indicating location or specificity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Mate
    -0.59
     Anon
    -0.58
     virgin
    -0.58
    tered
    -0.58
     âĢº
    -0.57
     Burnett
    -0.56
     lit
    -0.56
     Volunteer
    -0.55
     CPR
    -0.55
     Toledo
    -0.54
    POSITIVE LOGITS
    :(
    0.75
    jriwal
    0.74
    roximately
    0.72
    Else
    0.72
    hesda
    0.70
    mosp
    0.69
    elaide
    0.69
    yrinth
    0.68
    swers
    0.67
    Quantity
    0.67
    Activations Density 0.120%

    No Known Activations