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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. 7-RES-JB
    11. 6465
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    Explanations

    phrases or words related to making statements or taking official positions

    oai_token-act-pair · gpt-3.5-turbo

    instances of statements or records about events or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rewards
    -0.70
     Horizons
    -0.68
     Society
    -0.67
    Torrent
    -0.66
     harvest
    -0.66
    brance
    -0.66
    profits
    -0.65
     Composite
    -0.65
    ynam
    -0.64
    profit
    -0.63
    POSITIVE LOGITS
    talking
    1.13
     demeanor
    1.03
     apologizing
    1.01
    Talking
    0.99
    rompt
    0.98
     verbally
    0.97
     speeches
    0.96
     uttered
    0.96
     explaining
    0.95
     remarks
    0.94
    Activations Density 1.153%

    No Known Activations