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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. 9793
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    Explanations

    alphanumeric sequences with underscores in between words

    oai_token-act-pair · gpt-3.5-turbo

    references to user-generated content and their associated identifiers

    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
     CBI
    -0.82
     commencement
    -0.81
     congest
    -0.80
     conducive
    -0.79
     plurality
    -0.78
     Alban
    -0.77
     conduc
    -0.77
     exha
    -0.76
     mosqu
    -0.76
     preventive
    -0.76
    POSITIVE LOGITS
    Games
    1.10
    Gaming
    1.06
    gamer
    0.98
    Beast
    0.97
    Gamer
    0.97
    Fan
    0.94
    xus
    0.93
    guy
    0.93
    pie
    0.91
    cko
    0.91
    Activations Density 0.333%

    No Known Activations