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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. 17099
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    Explanations

    phrases related to conflicts or battles, often metaphorical

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to warfare or conflict

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    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
    Negative Logits
    izations
    -0.72
    imating
    -0.71
    osal
    -0.70
    angering
    -0.69
    idences
    -0.69
    usional
    -0.68
    ateral
    -0.68
    usions
    -0.68
    uters
    -0.67
     equivalents
    -0.66
    POSITIVE LOGITS
     waged
    1.07
     fought
    0.99
    battle
    0.97
    ãĥ£
    0.96
    rior
    0.89
     raged
    0.89
     battles
    0.88
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    0.86
     battle
    0.84
    ¯¯¯¯
    0.81
    Activations Density 0.017%

    No Known Activations