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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. 8-RES-JB
    11. 6233
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    Explanations

    numeric values in a specific format - "25 X" where X is a non-zero value

    oai_token-act-pair · gpt-3.5-turbo

    the number '25' and its variations in the context provided

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ophon
    -0.79
    sein
    -0.70
    ĸļ
    -0.69
    paio
    -0.69
    yle
    -0.68
    rium
    -0.66
    chio
    -0.65
    phis
    -0.64
    plin
    -0.63
    atis
    -0.63
    POSITIVE LOGITS
    th
    0.99
    00
    0.98
    60
    0.94
    isher
    0.93
    50
    0.92
    %-
    0.91
    %
    0.91
    ishers
    0.90
    %:
    0.88
    ishing
    0.88
    Activations Density 0.064%

    No Known Activations