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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. 4-RES-JB
    11. 17130
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    Explanations

    words related to order or sequence, particularly ordinal numbers like 'second' and 'third'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of ordinal numbers, specifically "second" and "third."

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

    No Comments

    Negative Logits
    POST
    -0.78
    PRO
    -0.76
    Max
    -0.76
    ETS
    -0.75
    ICO
    -0.74
    bos
    -0.74
    JP
    -0.70
    Progress
    -0.70
    Cache
    -0.68
    Mind
    -0.68
    POSITIVE LOGITS
     installment
    0.99
     inning
    0.96
     baseman
    0.94
     incarnation
    0.93
     iteration
    0.91
     consecutive
    0.90
     edition
    0.84
     largest
    0.83
     holiest
    0.82
     century
    0.80
    Activations Density 0.063%

    No Known Activations