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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. 3-RES-JB
    11. 17968
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    Explanations

    references to the media outlet "Daily Mail"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "Daily Mail" publication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    razil
    -0.70
    issan
    -0.64
    structed
    -0.63
    osed
    -0.62
     neutral
    -0.61
    func
    -0.60
    obal
    -0.58
    ¥ŀ
    -0.57
    itial
    -0.57
     pride
    -0.56
    POSITIVE LOGITS
    bag
    1.20
    bags
    1.08
    Mail
    1.01
     Mail
    1.01
    mail
    0.98
     Online
    0.89
    boxes
    0.86
    ing
    0.82
    box
    0.81
    Online
    0.79
    Activations Density 0.006%

    No Known Activations