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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. 8981
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    Explanations

    references related to specific names, possibly of individuals or places

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or entities involved in containment issues

    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
     occas
    -0.88
    erous
    -0.83
    ued
    -0.77
     livest
    -0.76
     skelet
    -0.73
    illard
    -0.72
    soDeliveryDate
    -0.68
    iu
    -0.68
    --------------------------------------------------------
    -0.67
     compr
    -0.67
    POSITIVE LOGITS
    ULTS
    0.79
    hower
    0.79
    heit
    0.78
    terness
    0.74
    ahime
    0.72
     Bye
    0.70
    pour
    0.69
    iversary
    0.69
    ateg
    0.68
    baugh
    0.67
    Activations Density 0.037%

    No Known Activations