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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. 9-RES-JB
    11. 8738
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    Explanations

    phrases related to politics, government, and legal matters

    oai_token-act-pair · gpt-3.5-turbo

    references to legal actions or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     centres
    -0.83
     recognise
    -0.81
     organis
    -0.80
     travellers
    -0.76
     envis
    -0.75
     traveller
    -0.75
     analyse
    -0.74
     organisations
    -0.72
     endeavour
    -0.71
     metre
    -0.70
    POSITIVE LOGITS
     afterward
    1.08
     thereafter
    0.98
     THEN
    0.96
    ???
    0.95
    ?!
    0.93
     AFTER
    0.92
     shitty
    0.91
     afterwards
    0.91
     NEVER
    0.90
     blah
    0.90
    Activations Density 1.109%

    No Known Activations