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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. 0-RES-JB
    11. 23285
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    Explanations

    references to specific groups or organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various "Group" entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    requ
    -0.69
     overflowing
    -0.69
     awa
    -0.68
     endings
    -0.64
     cops
    -0.60
     embell
    -0.60
     injure
    -0.58
     premiered
    -0.58
     eff
    -0.58
     prosecute
    -0.57
    POSITIVE LOGITS
     Group
    3.72
    Group
    2.68
     Groups
    2.49
     GROUP
    2.25
    group
    2.10
     group
    2.00
    GROUP
    1.77
    groups
    1.60
     groups
    1.60
     grouping
    1.42
    Activations Density 0.011%

    No Known Activations