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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. 4-RES-JB
    11. 2092
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    Explanations

    words related to sudden and intense outbursts or rapid increases

    oai_token-act-pair · gpt-3.5-turbo

    terms related to events and their subsequent reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ascript
    -0.78
    atives
    -0.70
    ryu
    -0.67
    chell
    -0.66
    ACTED
    -0.63
     swaps
    -0.62
    itles
    -0.61
    tein
    -0.61
     Supervisor
    -0.59
    awei
    -0.58
    POSITIVE LOGITS
     unbeliev
    0.86
     flames
    0.85
     fury
    0.80
    bole
    0.79
     pandemonium
    0.76
     indignation
    0.75
    Demand
    0.75
     wildfire
    0.72
     excitement
    0.71
     fever
    0.71
    Activations Density 0.550%

    No Known Activations