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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. 7-RES-JB
    6. 6562
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    Explanations

    dates in the format "month" + day, ignoring the year

    oai_token-act-pair · gpt-3.5-turbo

    the word "une" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    İĭ
    -0.84
    loo
    -0.76
    onial
    -0.75
    draw
    -0.73
    ories
    -0.73
    etheless
    -0.72
    pread
    -0.71
    aceous
    -0.70
    lished
    -0.67
    rieg
    -0.67
    POSITIVE LOGITS
    arthed
    1.04
    quist
    0.72
    cker
    0.70
    cean
    0.68
    hill
    0.65
    SPONSORED
    0.63
     buggy
    0.63
     Mik
    0.63
    chan
    0.61
    hall
    0.59
    Activations Density 0.020%

    No Known Activations