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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. 22950
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    Explanations

    numerical sequences in the format of dates or times

    oai_token-act-pair · gpt-3.5-turbo

    numerical identifiers or codes related to organizations or events

    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
     eleph
    -0.76
    aditional
    -0.64
     Dud
    -0.64
     Origin
    -0.63
     ancest
    -0.61
     Pros
    -0.61
     reluct
    -0.58
     Alchemist
    -0.57
    Reviewer
    -0.57
     Dire
    -0.56
    POSITIVE LOGITS
    ovember
    0.91
    cember
    0.76
    å¹
    0.72
    geon
    0.71
    xff
    0.69
    ffe
    0.66
    ageddon
    0.65
    icro
    0.65
    Aug
    0.65
    ãĥ³
    0.65
    Activations Density 0.057%

    No Known Activations