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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. 7-RES-JB
    11. 9401
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    Explanations

    dates written in a specific date format

    oai_token-act-pair · gpt-3.5-turbo

    references to specific dates

    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
    swick
    -0.76
    */(
    -0.76
    ļéĨĴ
    -0.73
    ciating
    -0.71
    pn
    -0.70
    estern
    -0.69
    ħĭ
    -0.69
    culosis
    -0.68
    PDATE
    -0.67
    EStreamFrame
    -0.66
    POSITIVE LOGITS
    nard
    1.31
    flower
    1.21
    onna
    1.16
    fair
    1.15
    weather
    1.05
    oral
    1.00
    hew
    0.96
    umi
    0.91
    ushima
    0.87
    bach
    0.85
    Activations Density 0.033%

    No Known Activations