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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. 15554
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    Explanations

    content related to admissions, including admissions to different institutions or events

    oai_token-act-pair · gpt-3.5-turbo

    references to admissions in various contexts

    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
    enegger
    -0.74
    rior
    -0.74
    hed
    -0.72
     unloaded
    -0.69
    aptic
    -0.64
    cher
    -0.63
    achu
    -0.62
    aptop
    -0.61
    rote
    -0.60
    rodu
    -0.60
    POSITIVE LOGITS
    aneers
    0.97
     Admission
    0.94
     admission
    0.89
     admissions
    0.83
    ibility
    0.79
    ysis
    0.77
    prise
    0.77
    glers
    0.74
    ylon
    0.71
     seekers
    0.70
    Activations Density 0.013%

    No Known Activations