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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. 5783
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    Explanations

    mentions of groups of people

    oai_token-act-pair · gpt-3.5-turbo

    phrases that refer to collective groups of people

    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
     Statements
    -0.72
    stories
    -0.66
     shocks
    -0.63
     Machines
    -0.63
     endings
    -0.61
     Walls
    -0.60
     Taxes
    -0.60
     Towers
    -0.60
     arteries
    -0.60
    imon
    -0.59
    POSITIVE LOGITS
     consisting
    1.22
     comprising
    1.18
     of
    1.07
     comprised
    1.01
     composed
    0.92
     assembled
    0.87
     representing
    0.86
     numbering
    0.85
     thereof
    0.85
    think
    0.79
    Activations Density 0.119%

    No Known Activations