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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. 11-RES-JB
    11. 12151
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    Explanations

    mentions of departments within organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to various departments in an organizational context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pak
    -0.72
    TER
    -0.64
    ted
    -0.61
     Predators
    -0.60
    Mini
    -0.59
     Ves
    -0.57
    VEN
    -0.56
    chers
    -0.56
     Pand
    -0.56
     Clan
    -0.56
    POSITIVE LOGITS
    al
    1.24
    alities
    1.10
    ality
    1.05
    artments
    0.98
    artment
    0.95
    wide
    0.93
    ally
    0.91
    aler
    0.87
    als
    0.85
     store
    0.85
    Activations Density 0.054%

    No Known Activations