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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. 8732
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    Explanations

    phrases related to being worried or concerned

    oai_token-act-pair · gpt-3.5-turbo

    content related to concern or worry about various issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.95
    MX
    -0.93
    OGR
    -0.74
    TL
    -0.73
    Laughs
    -0.73
    Begin
    -0.72
    ession
    -0.70
    xxxxxxxx
    -0.70
    NES
    -0.69
    Sport
    -0.69
    POSITIVE LOGITS
     repercussions
    1.03
     safety
    1.02
     safegu
    1.01
     preserving
    1.00
     worsening
    0.99
     losing
    0.98
     protecting
    0.95
     contag
    0.94
     preventing
    0.94
     deteriorating
    0.92
    Activations Density 0.126%

    No Known Activations