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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. 23188
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    INDEX
    Explanations

    words related to financial transactions and business operations

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, particularly commas

    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
    jured
    -0.60
    itol
    -0.56
    ivity
    -0.53
    gow
    -0.52
    chnology
    -0.52
    ls
    -0.52
    ,
    -0.51
    conom
    -0.50
     resemb
    -0.50
     And
    -0.49
    POSITIVE LOGITS
     respectively
    1.39
    depending
    1.03
     whichever
    1.00
     depending
    0.93
     albeit
    0.83
     although
    0.81
     according
    0.78
    according
    0.77
     thereby
    0.77
     despite
    0.76
    Activations Density 0.417%

    No Known Activations