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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. 4096
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    Explanations

    phrases related to expressing concern about various topics

    oai_token-act-pair · gpt-3.5-turbo

    expressions of concern regarding various issues

    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
    Not in Any Lists

    No Comments

    Negative Logits
    MX
    -0.86
    OGR
    -0.76
    Laughs
    -0.75
     Doodle
    -0.74
    LES
    -0.70
    Begin
    -0.69
    Try
    -0.69
    Yep
    -0.68
    NES
    -0.68
    Amazing
    -0.66
    POSITIVE LOGITS
     safegu
    1.03
     repercussions
    0.98
     safety
    0.96
     protecting
    0.95
     privacy
    0.94
     deteriorating
    0.91
     proliferation
    0.90
     preserving
    0.90
     undue
    0.89
     impending
    0.88
    Activations Density 0.122%

    No Known Activations