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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. 4-RES-JB
    11. 18
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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

    No Comments

    Negative Logits
     Hunt
    -0.55
     Rabbit
    -0.45
     Bed
    -0.44
     Shooter
    -0.44
     Thing
    -0.44
     Dangerous
    -0.43
     Kits
    -0.43
     Carson
    -0.42
     Cards
    -0.42
     Kro
    -0.42
    POSITIVE LOGITS
    theless
    0.64
     destro
    0.54
    flow
    0.50
    ishly
    0.49
    zona
    0.48
    terday
    0.48
    ciation
    0.48
    tenance
    0.48
    Magikarp
    0.47
    iously
    0.47
    Activations Density 0.439%

    No Known Activations