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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. 6-RES-JB
    11. 2260
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    Explanations

    references to situations or descriptions that generate fear or panic

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to fear or alarming situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 6 - fear

    No Comments

    Negative Logits
    cially
    -0.78
    iciency
    -0.72
     offic
    -0.71
     slightest
    -0.71
     authenticated
    -0.70
    entials
    -0.69
    edded
    -0.68
    odore
    -0.68
     arrang
    -0.67
    tein
    -0.65
    POSITIVE LOGITS
    crow
    1.80
    mong
    1.33
    warts
    0.91
    ingly
    0.89
    bite
    0.76
    Cry
    0.75
    wart
    0.75
    faced
    0.73
    fu
    0.72
    abies
    0.71
    Activations Density 0.023%

    No Known Activations