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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. 6088
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    Explanations

    strings of numbers and special characters

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or codes, particularly those related to statistics or categorization

    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
    nesday
    -0.87
    achus
    -0.81
    pire
    -0.81
    itionally
    -0.72
     Flavoring
    -0.71
     disadvant
    -0.71
     proble
    -0.71
    parency
    -0.68
    itivity
    -0.68
    bsite
    -0.68
    POSITIVE LOGITS
    803
    0.96
    328
    0.96
    dfx
    0.88
     mph
    0.87
    017
    0.80
    mph
    0.79
    468
    0.79
    _.
    0.79
    326
    0.76
    016
    0.76
    Activations Density 0.034%

    No Known Activations