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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. 2790
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    Explanations

    names of educational institutions and possibly individuals associated with them

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific institutions or programs, particularly educational and medical 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
    emon
    -0.91
    ographer
    -0.86
    cript
    -0.83
    ograp
    -0.81
    emonic
    -0.79
    hens
    -0.78
    eness
    -0.77
    icer
    -0.77
    ography
    -0.75
    hm
    -0.74
    POSITIVE LOGITS
    Tur
    0.75
    witz
    0.68
     belief
    0.62
     residency
    0.62
    rikes
    0.61
    lished
    0.60
     Towns
    0.60
    bed
    0.60
    ARP
    0.60
    mu
    0.59
    Activations Density 0.039%

    No Known Activations