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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. 10-RES-JB
    11. 24044
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    Explanations

    references to people or individuals in various situations or locations

    oai_token-act-pair · gpt-3.5-turbo

    references to groups of people in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ital
    -0.71
    oder
    -0.69
    Winner
    -0.69
     Fixes
    -0.69
     patents
    -0.69
    Effective
    -0.68
     Decision
    -0.68
    âĶĢâĶĢâĶĢâĶĢ
    -0.68
    ologies
    -0.67
     Guarant
    -0.67
    POSITIVE LOGITS
     gathered
    1.49
     chanted
    1.38
     congreg
    1.24
     chanting
    1.24
     gather
    1.23
     shouted
    1.16
     evacuated
    1.16
     marched
    1.16
     looting
    1.14
     spilled
    1.12
    Activations Density 0.305%

    No Known Activations