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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. 5496
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    Explanations

    proper nouns of people and places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    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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    No Comments

    Negative Logits
     juggling
    -0.56
     nutshell
    -0.54
     issu
    -0.54
    adobe
    -0.54
     ILCS
    -0.54
    PDATED
    -0.54
     fixtures
    -0.53
     DISTRICT
    -0.52
     lawy
    -0.51
    Reviewer
    -0.51
    POSITIVE LOGITS
     whom
    0.86
     Jr
    0.84
    kson
    0.83
    him
    0.79
    loe
    0.78
    ovich
    0.76
     teammate
    0.74
    omever
    0.74
    enez
    0.71
    neau
    0.69
    Activations Density 0.477%

    No Known Activations