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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. 1-RES-JB
    11. 15744
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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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    abol
    -0.77
    pper
    -0.73
    OTOS
    -0.63
     ingested
    -0.62
    hair
    -0.62
    hr
    -0.62
    ird
    -0.62
    olic
    -0.62
     stocking
    -0.61
    oho
    -0.60
    POSITIVE LOGITS
     contention
    1.05
    itism
    0.82
    wagon
    0.76
    uality
    0.72
    locks
    0.71
    ibility
    0.71
     inconsistency
    0.68
    edly
    0.67
     droid
    0.66
     asserts
    0.66
    Activations Density 0.004%

    No Known Activations