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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. 9-RES-JB
    11. 13133
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms and references related to technology, education, and organizational structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bot
    -0.62
    zing
    -0.59
    ython
    -0.59
    oret
    -0.58
    abus
    -0.57
    ropolis
    -0.56
    \":
    -0.56
     Koz
    -0.56
    uristic
    -0.56
     brut
    -0.56
    POSITIVE LOGITS
     respectively
    2.36
     alike
    2.02
    depending
    1.13
     simultaneously
    1.05
    hips
    0.96
     depending
    0.92
     jointly
    0.86
     respective
    0.84
     collide
    0.84
     concurrently
    0.84
    Activations Density 0.645%

    No Known Activations