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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. 4-RES-JB
    11. 2962
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    Explanations

    phrases related to legal and judiciary contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating progress or movement

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

    No Comments

    Negative Logits
     Seym
    -0.61
     Moroc
    -0.60
     vulner
    -0.60
    edIn
    -0.59
     Vaugh
    -0.58
     helicop
    -0.55
    emale
    -0.55
     thous
    -0.52
    FFFF
    -0.52
     convol
    -0.52
    POSITIVE LOGITS
     largeDownload
    0.60
    \":
    0.56
     nutshell
    0.49
    mosp
    0.47
     partName
    0.46
    Ĥª
    0.45
    ciples
    0.44
     JUSTICE
    0.43
     OFFIC
    0.42
    odcast
    0.42
    Activations Density 1.430%

    No Known Activations