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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. 5-RES-JB
    6. 7555
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    Explanations

    text related to software release notes

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "notes."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cross
    -0.70
     cruc
    -0.70
    ILLE
    -0.69
    izont
    -0.67
    WAY
    -0.65
    LOS
    -0.65
     waged
    -0.62
    duct
    -0.60
     advoc
    -0.59
     indignation
    -0.58
    POSITIVE LOGITS
    notes
    1.03
     Notes
    0.93
    ynthesis
    0.85
     Gained
    0.84
    ets
    0.82
    ppelin
    0.82
    ense
    0.82
    books
    0.80
    heet
    0.79
    asures
    0.79
    Activations Density 0.029%

    No Known Activations