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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. 19535
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    INDEX
    Explanations

    concerns or fears expressed by individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    expressions of fear or concern about potential negative outcomes

    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
    •layer 9 - fear

    No Comments

    Negative Logits
     congratulations
    -0.76
    ISTORY
    -0.74
     commend
    -0.73
    Favorite
    -0.72
    obbies
    -0.72
    thank
    -0.71
    bernatorial
    -0.71
    Original
    -0.70
     thank
    -0.66
    except
    -0.66
    POSITIVE LOGITS
     repercussions
    1.05
     impending
    1.05
     contag
    1.02
     jeopard
    0.99
     unchecked
    0.94
     pitfalls
    0.94
     unintended
    0.93
     encro
    0.93
     consequences
    0.93
     worsening
    0.92
    Activations Density 0.519%

    No Known Activations