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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. 5810
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    Explanations

    lines of text with a mix of English and possibly some other language

    oai_token-act-pair · gpt-3.5-turbo

    references to specific events or occurrences

    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
    Additionally
    -0.86
    Prior
    -0.84
    Initially
    -0.83
    Specifically
    -0.82
    Article
    -0.80
    Phase
    -0.80
    Bio
    -0.80
    Basically
    -0.77
    Furthermore
    -0.77
    Specific
    -0.77
    POSITIVE LOGITS
     thou
    1.11
     ain
    1.10
     thy
    1.03
     wanna
    0.95
     thee
    0.93
     ye
    0.90
     hath
    0.89
     mighty
    0.89
     vain
    0.87
     whispering
    0.85
    Activations Density 0.469%

    No Known Activations