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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. 17539
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    Explanations

    interactions related to communication and information exchange

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to tracking or identifying people and their actions

    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
    unction
    -0.76
    unctions
    -0.70
    Ö¼
    -0.69
    ossibility
    -0.68
    ĭ
    -0.65
    sever
    -0.64
    isse
    -0.64
    quartered
    -0.63
    oddy
    -0.62
    ¹
    -0.62
    POSITIVE LOGITS
     whom
    1.22
     whose
    0.87
    ?,
    0.77
     who
    0.75
     versus
    0.75
    liest
    0.73
     whence
    0.72
     which
    0.72
    whose
    0.71
    /(
    0.70
    Activations Density 0.322%

    No Known Activations