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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. 17775
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    phrases related to legal and criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    details related to legal and criminal matters

    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
    -)
    -0.85
     *)
    -0.84
     UNCLASSIFIED
    -0.78
    *)
    -0.75
     ---------
    -0.75
     :=
    -0.74
     [/
    -0.73
     [+
    -0.72
     %%
    -0.69
     |--
    -0.69
    POSITIVE LOGITS
     taxpayer
    0.69
     watchdog
    0.63
     billed
    0.60
     amid
    0.59
     Donald
    0.58
     improperly
    0.56
     taxpayers
    0.56
     illegally
    0.56
     prank
    0.55
     accidentally
    0.54
    Activations Density 1.645%

    No Known Activations