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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. 6-RES-JB
    11. 4271
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    Explanations

    legal or official documents, particularly affidavits

    oai_token-act-pair · gpt-3.5-turbo

    references to legal documents or statements, particularly affidavits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -1.02
    pter
    -0.87
    edom
    -0.85
    bilt
    -0.83
    tty
    -0.80
    pload
    -0.80
    tsky
    -0.76
    efer
    -0.75
    enthal
    -0.75
    hov
    -0.74
    POSITIVE LOGITS
    iculture
    0.76
    ate
    0.75
    uates
    0.73
    uary
    0.72
    uate
    0.72
    rador
    0.70
    ality
    0.70
    ated
    0.68
    uated
    0.66
    ateur
    0.65
    Activations Density 0.100%

    No Known Activations