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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 22203
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    Explanations

    propper nouns

    oai_token-act-pair · gpt-3.5-turbo

    the repeated occurrence of the substring "ne" within words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rador
    -0.96
    hips
    -0.83
    rament
    -0.80
    inarily
    -0.79
    allery
    -0.77
     glim
    -0.76
    orsi
    -0.76
    rican
    -0.74
    enhagen
    -0.74
    ENCY
    -0.73
    POSITIVE LOGITS
    arest
    0.97
    cht
    0.96
    jad
    0.94
    phrine
    0.90
    verend
    0.90
    zel
    0.89
    gan
    0.89
    cks
    0.88
    gger
    0.86
    zi
    0.86
    Activations Density 0.022%

    No Known Activations