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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. 3-RES-JB
    11. 3885
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    INDEX
    Explanations

    the word "Odisha" specifically in the text

    oai_token-act-pair · gpt-3.5-turbo

    repeated mention of the name "Od" or its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arenthood
    -0.80
    resents
    -0.75
    terday
    -0.73
    riott
    -0.70
    shapeshifter
    -0.70
    =-=-=-=-
    -0.70
    ++++++++++++++++
    -0.69
    xual
    -0.69
    ablishment
    -0.66
    ancial
    -0.65
    POSITIVE LOGITS
    yssey
    1.23
    essa
    1.05
    ors
    0.94
    osc
    0.91
    okia
    0.88
    isha
    0.87
    oug
    0.85
     Od
    0.84
    wall
    0.84
    uba
    0.84
    Activations Density 0.010%

    No Known Activations