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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. 3-RES-JB
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    Explanations

    the name "oll" with different associations and contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Moll" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.82
    rament
    -0.65
    rano
    -0.63
     magnification
    -0.63
     EntityItem
    -0.62
    âĸ¬
    -0.62
    ãĥ£
    -0.62
    âĸ¬âĸ¬
    -0.61
     quo
    -0.60
    £ı
    -0.60
    POSITIVE LOGITS
    ipop
    1.32
    inson
    1.08
    ieu
    1.04
    enstein
    0.91
    iard
    0.90
    oning
    0.89
    ogy
    0.88
    ega
    0.87
    ounge
    0.87
    oon
    0.87
    Activations Density 0.010%

    No Known Activations