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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. 7-RES-JB
    11. 18892
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    Explanations

    phrases related to fear or concern

    oai_token-act-pair · gpt-3.5-turbo

    expressions of fear or anxiety in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 7 - fear

    No Comments

    Negative Logits
    amic
    -0.87
    emark
    -0.81
    along
    -0.75
    ework
    -0.75
    este
    -0.73
    version
    -0.71
    estone
    -0.71
    oard
    -0.70
    tic
    -0.69
    src
    -0.69
    POSITIVE LOGITS
     retribution
    0.89
     repercussions
    0.79
     fate
    0.75
     lest
    0.75
     impending
    0.73
    lessly
    0.73
     retaliation
    0.73
     imminent
    0.71
     overest
    0.70
     repr
    0.69
    Activations Density 0.132%

    No Known Activations