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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. 3-RES-JB
    11. 3139
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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legal requirements or mandates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Atmosp
    -0.89
    minster
    -0.81
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.72
    UAL
    -0.71
     Warcraft
    -0.67
    Stars
    -0.67
    Pic
    -0.66
     Plane
    -0.66
     Rou
    -0.65
    ock
    -0.65
    POSITIVE LOGITS
     exempted
    1.00
     exempt
    0.99
     compliance
    0.95
     exemptions
    0.90
     viol
    0.87
     defund
    0.83
     disqualified
    0.81
     penal
    0.81
     protections
    0.81
     mand
    0.80
    Activations Density 0.115%

    No Known Activations