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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 8752
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    Explanations

    assertive statements, usually related to serious matters

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "serious" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     epit
    -0.65
    oS
    -0.64
     partition
    -0.64
     clock
    -0.63
     via
    -0.62
    azon
    -0.62
     hereafter
    -0.62
     feed
    -0.62
     freely
    -0.61
     Ft
    -0.60
    POSITIVE LOGITS
    serious
    3.71
     Serious
    2.50
     seriousness
    2.33
     serious
    2.23
     seriously
    1.32
    grave
    1.18
    severe
    1.16
     Seriously
    1.11
    threatening
    1.08
     severe
    1.06
    Activations Density 0.023%

    No Known Activations