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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. 18353
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    Explanations

    instances of specific locations or names such as "Sunderland", "Kandahar", "Dover", and "Anchorage"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations and instances of discontinuation or termination

    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
    ioch
    -0.91
    itia
    -0.88
     territ
    -0.76
    iov
    -0.72
    iatus
    -0.71
    heastern
    -0.67
     fide
    -0.66
    endar
    -0.65
    licks
    -0.63
    MN
    -0.63
    POSITIVE LOGITS
     Turing
    0.85
    lain
    0.83
    èĢħ
    0.81
    forth
    0.78
    ãĤ¦ãĤ¹
    0.78
    acs
    0.71
     Sands
    0.71
    uran
    0.69
    èª
    0.68
    daq
    0.68
    Activations Density 0.027%

    No Known Activations