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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. 12-RES-JB
    11. 4177
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    INDEX
    Explanations

    comments about personal experiences and memories

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    expressions of introspection and self-reflection

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     enrichment
    -0.63
     indispensable
    -0.63
     essentials
    -0.62
     export
    -0.60
     shortage
    -0.60
     monopoly
    -0.59
     tariffs
    -0.58
     scarcity
    -0.57
     yield
    -0.57
     exports
    -0.57
    POSITIVE LOGITS
    âĢ
    1.12
     âĢ
    0.94
    Ò
    0.86
    inventoryQuantity
    0.85
    ãħĭãħĭ
    0.83
     tho
    0.83
    ãħĭ
    0.83
    emort
    0.82
    ã
    0.81
    ãĢ
    0.81
    Activations Density 0.471%

    No Known Activations