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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. 10-RES-JB
    11. 18550
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    Explanations

    phrases related to legal terms and procedures

    oai_token-act-pair · gpt-3.5-turbo

    variations of the root 'pr.'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AMERICA
    -0.71
     silenced
    -0.68
     disappearing
    -0.68
     hindsight
    -0.64
     bed
    -0.62
     persist
    -0.62
     geographically
    -0.60
     bat
    -0.58
     wink
    -0.58
     blanket
    -0.58
    POSITIVE LOGITS
    udence
    1.22
    inters
    1.17
    icing
    1.15
    ices
    1.12
    istine
    1.10
    imate
    1.06
    ODUCT
    1.05
    arie
    1.01
    inc
    1.00
    imum
    1.00
    Activations Density 0.017%

    No Known Activations