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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. 5173
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    Explanations

    instances of verbs related to achievement or success

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to achievement or obtaining something

    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
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    No Comments

    Negative Logits
    verend
    -0.72
     fallacy
    -0.67
    cius
    -0.62
    SPONSORED
    -0.61
    aura
    -0.60
    ocamp
    -0.60
     Lies
    -0.59
    hide
    -0.59
    say
    -0.57
    ulhu
    -0.57
    POSITIVE LOGITS
     rewarded
    1.09
     pounded
    0.98
     bumped
    0.95
     rid
    0.95
     hammered
    0.93
     acquainted
    0.91
     punished
    0.90
     picked
    0.88
     stronger
    0.88
     beaten
    0.87
    Activations Density 0.086%

    No Known Activations