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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. 4671
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    Explanations

    phrases related to waiting or anticipation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the substring "wa" in the text

    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
    displayText
    -0.77
     unaff
    -0.71
    erous
    -0.70
    starter
    -0.69
     Luther
    -0.69
    rd
    -0.69
    hematically
    -0.68
    ergy
    -0.66
    regor
    -0.66
    toc
    -0.64
    POSITIVE LOGITS
    velength
    1.62
    ÅĤ
    1.07
    wa
    1.05
    atts
    0.99
    aii
    0.98
    Wa
    0.98
    veland
    0.93
    pload
    0.92
    heed
    0.90
    isoft
    0.87
    Activations Density 0.008%

    No Known Activations