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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. 10-RES-JB
    6. 8931
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    Explanations

    mentions of behaviors or situations associated with extreme or irrational actions

    oai_token-act-pair · gpt-3.5-turbo
    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
     Lot
    -0.64
     LCS
    -0.62
     silenced
    -0.60
    LECT
    -0.60
    âĢ¢âĢ¢
    -0.58
     NRS
    -0.58
     Presbyterian
    -0.57
    ĵĺ
    -0.57
     PB
    -0.57
     governed
    -0.57
    POSITIVE LOGITS
    cheon
    1.56
    atics
    1.46
    atic
    1.46
    acy
    1.34
    atical
    1.27
    etic
    1.15
    acies
    1.15
    aris
    1.14
    acia
    1.10
    amic
    1.10
    Activations Density 0.042%

    No Known Activations