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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. 11684
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    Explanations

    words ending in "ner"

    oai_token-act-pair · gpt-3.5-turbo

    names and terms associated with individuals or entities involved in notable events

    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
     Alph
    -0.91
     hemor
    -0.91
     indo
    -0.83
     Hyd
    -0.79
     Sep
    -0.77
     ah
    -0.76
     Elim
    -0.76
     Alz
    -0.76
     diarr
    -0.74
     rapt
    -0.74
    POSITIVE LOGITS
    ner
    1.26
    zynski
    1.10
    ners
    1.08
    kefeller
    1.07
    owitz
    1.03
    owsky
    1.00
    owicz
    1.00
    riott
    0.98
    pie
    0.98
    anski
    0.96
    Activations Density 0.234%

    No Known Activations