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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
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    Explanations

    mentions of the name "Jojo" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "JoJo" or variations of it

    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
     bombard
    -0.65
    rified
    -0.60
    binary
    -0.60
     ESV
    -0.59
     difference
    -0.59
    rated
    -0.58
     Greeks
    -0.58
     bulbs
    -0.58
     Horizons
    -0.58
     Pilgrim
    -0.58
    POSITIVE LOGITS
    jo
    1.13
    vernment
    1.01
    zzo
    1.00
    aquin
    0.97
    JO
    0.93
    zzi
    0.91
    ffee
    0.88
    zyk
    0.85
    unction
    0.85
    zai
    0.84
    Activations Density 0.011%

    No Known Activations