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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. 20918
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    Explanations

    verbs related to determination and intent

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to cooking or food preparation

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     IEEE
    -0.72
     Dys
    -0.67
     PRES
    -0.61
    Rog
    -0.60
    etics
    -0.60
    enegger
    -0.60
    verbal
    -0.59
    adj
    -0.59
    blance
    -0.59
     blockers
    -0.59
    POSITIVE LOGITS
    tons
    0.96
    sburg
    0.92
    illing
    0.82
    itude
    0.80
    espie
    0.76
    animous
    0.74
    oyal
    0.72
    ton
    0.71
    auga
    0.71
    arsh
    0.70
    Activations Density 0.007%

    No Known Activations