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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. 3-RES-JB
    11. 188
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    Explanations

    references to victims and victory

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    the word "victim" or related variations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    clips
    -0.67
     tightening
    -0.67
     wrench
    -0.66
    ó
    -0.64
     seismic
    -0.64
     buzzing
    -0.63
    WAYS
    -0.63
     tighter
    -0.63
    OPLE
    -0.63
     gearing
    -0.62
    POSITIVE LOGITS
    vict
    1.17
    Vict
    1.14
    ims
    1.05
    orian
    1.00
    ī
    0.94
    oire
    0.90
    oria
    0.89
    orious
    0.89
    ory
    0.88
    ician
    0.87
    Activations Density 0.006%

    No Known Activations