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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. 1-RES-JB
    11. 8798
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    Explanations

    phrases related to recommendations or enhancements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to recommendations and high quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eer
    -0.90
    istic
    -0.89
    istically
    -0.83
    ists
    -0.76
    ist
    -0.75
    Joy
    -0.74
    esville
    -0.72
    ports
    -0.69
    anas
    -0.69
    mong
    -0.68
    POSITIVE LOGITS
     Seym
    0.87
     recomm
    0.85
     blockers
    0.77
     unfocusedRange
    0.76
    aditional
    0.75
     describ
    0.73
     conduc
    0.73
    senal
    0.72
    henko
    0.72
    ened
    0.72
    Activations Density 0.030%

    No Known Activations