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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. 7-RES-JB
    11. 10066
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    Explanations

    benefit-related phrases and contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating benefits or positive outcomes associated with a wide range of subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     proble
    -0.83
    soDeliveryDate
    -0.75
    mouth
    -0.74
    apo
    -0.74
    atum
    -0.73
    ailability
    -0.72
    cal
    -0.69
    numbered
    -0.67
    psons
    -0.67
    fam
    -0.66
    POSITIVE LOGITS
     afar
    0.96
     having
    0.84
     owning
    0.81
     seeing
    0.75
     being
    0.75
     watching
    0.74
     witnessing
    0.72
     knowing
    0.72
     mastering
    0.72
     adopting
    0.69
    Activations Density 0.049%

    No Known Activations