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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. 10-RES-JB
    11. 5003
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    Explanations

    words related to technological processes or terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to versions and phases in technical or developmental contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Coffin
    -0.69
     Anita
    -0.65
    arde
    -0.65
     Lara
    -0.63
    enegger
    -0.62
     Edison
    -0.61
     Grail
    -0.61
     Pamela
    -0.60
     Mission
    -0.60
    adeon
    -0.59
    POSITIVE LOGITS
     mismatch
    1.19
     differences
    1.07
     distinctions
    0.99
     discrepancies
    0.98
     variation
    0.98
     invari
    0.98
     determination
    0.97
     change
    0.94
     difference
    0.94
     variance
    0.94
    Activations Density 0.217%

    No Known Activations