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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. 7123
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    Explanations

    technology-related terms or company/product names

    oai_token-act-pair · gpt-3.5-turbo

    names and terms related to characters or entities within a narrative context

    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
    anwhile
    -0.86
    mble
    -0.81
    etheless
    -0.76
     guid
    -0.65
     referen
    -0.64
    enegger
    -0.63
    ĸļ
    -0.62
    ģĸ
    -0.62
    */(
    -0.61
    umbnails
    -0.61
    POSITIVE LOGITS
     Street
    0.79
     Avenue
    0.77
     Creek
    0.75
    ona
    0.71
     Island
    0.69
    Fest
    0.69
    Star
    0.69
     Beach
    0.69
    ont
    0.68
    eland
    0.67
    Activations Density 0.608%

    No Known Activations