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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. 6-RES-JB
    11. 10788
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    Explanations

    dates represented in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    numerical data, particularly dates or significant numbers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enhagen
    -0.92
    orc
    -0.89
    ensed
    -0.79
    ovie
    -0.75
    odynamic
    -0.73
     regenerate
    -0.73
    mble
    -0.73
    etsk
    -0.72
    onite
    -0.72
    aired
    -0.71
    POSITIVE LOGITS
    06
    0.90
    76
    0.90
    08
    0.86
    05
    0.83
    rd
    0.82
    87
    0.82
    07
    0.80
    89
    0.80
    03
    0.80
    00
    0.79
    Activations Density 0.034%

    No Known Activations