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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. 2-RES-JB
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    Explanations

    the sequence "Ł"

    oai_token-act-pair · gpt-3.5-turbo

    specific characters or symbols, likely in a visual or text encoding context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ascus
    -0.98
    Downloadha
    -0.88
    berra
    -0.88
    xus
    -0.87
    iversal
    -0.87
    psey
    -0.86
    antha
    -0.84
    ebus
    -0.82
    htaking
    -0.79
    zees
    -0.78
    POSITIVE LOGITS
    Ł
    1.24
    İ
    1.11
    ĩ
    1.07
    ³
    1.04
    Ĺ
    1.00
    ĭ
    1.00
    åº
    0.99
    âĶĢâĶĢ
    0.98
    ¿
    0.96
    ENCY
    0.93
    Activations Density 0.005%

    No Known Activations