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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
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    Explanations

    the word "everything"

    oai_token-act-pair · gpt-3.5-turbo

    the word "Everything" and its variations, indicating a focus on totality or holistic perspectives

    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
    geons
    -0.71
    ename
    -0.70
    gee
    -0.70
    odan
    -0.69
    ORD
    -0.69
    idon
    -0.68
    eln
    -0.65
     Parables
    -0.64
    pu
    -0.64
    missions
    -0.64
    POSITIVE LOGITS
     else
    1.70
     imaginable
    1.28
     Else
    1.22
     except
    1.08
    Else
    1.08
     conceivable
    0.91
    else
    0.88
     pertaining
    0.87
     revolves
    0.81
     happening
    0.81
    Activations Density 0.047%

    No Known Activations