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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 6-RES-JB
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    Explanations

    pronouns 'who', 'her', and 'him' in sentences

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "who."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SE
    -0.78
     Passage
    -0.77
    Untitled
    -0.75
     VIDEOS
    -0.71
    UG
    -0.69
    UT
    -0.68
    BACK
    -0.68
     Millennium
    -0.66
     Affordable
    -0.64
     Delicious
    -0.64
    POSITIVE LOGITS
    soever
    0.88
     migrated
    0.85
    upon
    0.85
     presumably
    0.82
    oping
    0.80
    anwhile
    0.78
     specialize
    0.78
     fled
    0.78
    umbnails
    0.78
    imar
    0.77
    Activations Density 0.149%

    No Known Activations