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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. 0-RES-JB
    11. 8281
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    INDEX
    Explanations

    proper nouns related to company holdings or financial entities

    oai_token-act-pair · gpt-3.5-turbo

    corporate entities and their associated actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bern
    -0.90
     ply
    -0.77
     jam
    -0.76
    ophers
    -0.71
    iard
    -0.67
     spont
    -0.66
     blend
    -0.66
     volunt
    -0.66
     strawberries
    -0.65
     verse
    -0.65
    POSITIVE LOGITS
     Holdings
    2.92
     Holding
    1.56
    cz
    1.10
     Kardashian
    1.08
     Ear
    1.04
     Clo
    0.99
     Hai
    0.92
    enance
    0.91
     Kardash
    0.89
    tick
    0.88
    Activations Density 0.049%

    No Known Activations