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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
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    Explanations

    names related to individuals

    oai_token-act-pair · gpt-3.5-turbo

    the names of individuals, specifically "Helen" and "Ellen"

    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
    emonium
    -0.83
    ozy
    -0.81
    aign
    -0.74
    ======
    -0.71
    awaru
    -0.69
    irements
    -0.67
    ints
    -0.67
    CVE
    -0.66
    ickr
    -0.66
    entin
    -0.65
    POSITIVE LOGITS
     Helen
    0.89
     Keller
    0.85
    terness
    0.85
     Ellen
    0.81
     Sloan
    0.81
    Ocean
    0.74
     Hath
    0.74
    sea
    0.74
    ship
    0.72
     DeVos
    0.72
    Activations Density 0.015%

    No Known Activations