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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 15151
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to certain rating systems or classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ional
    -0.75
    bourg
    -0.74
    burg
    -0.74
    perse
    -0.67
    arily
    -0.67
    mons
    -0.63
    eers
    -0.63
    ivities
    -0.62
    eve
    -0.62
    orial
    -0.61
    POSITIVE LOGITS
    ounty
    1.01
    JJ
    0.99
    axter
    0.94
    BS
    0.93
    GV
    0.90
    BIP
    0.89
    ANK
    0.89
    JECT
    0.89
    ITS
    0.88
    ruary
    0.86
    Activations Density 0.091%

    No Known Activations