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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. 23148
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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the verb "has" in various contexts

    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
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    Negative Logits
    most
    -0.58
     territ
    -0.56
     behold
    -0.56
     Allied
    -0.55
     selves
    -0.54
     measuring
    -0.54
     Via
    -0.52
    —-
    -0.52
     Julius
    -0.52
     MacArthur
    -0.51
    POSITIVE LOGITS
     been
    1.23
    bara
    1.21
    been
    1.18
    kell
    1.13
     emerged
    1.00
     undergone
    0.96
    hed
    0.95
     Been
    0.94
     risen
    0.90
     become
    0.90
    Activations Density 0.120%

    No Known Activations