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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. 12203
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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
    anyon
    -0.55
    %;
    -0.52
    ickr
    -0.52
    rike
    -0.52
     Accountability
    -0.52
    iquette
    -0.51
    maxwell
    -0.51
    rition
    -0.51
     Soft
    -0.51
     ..............
    -0.51
    POSITIVE LOGITS
     incidentally
    0.62
    pport
    0.61
    pire
    0.59
     preceded
    0.58
    pires
    0.56
     coincides
    0.54
     outweigh
    0.54
     precursor
    0.52
     reside
    0.51
     resides
    0.50
    Activations Density 1.452%

    No Known Activations