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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. 9-RES-JB
    11. 16055
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    Explanations

    names of individuals and possibly references to events or organizations in a specific context

    oai_token-act-pair · gpt-3.5-turbo

    names and initials of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Appalachian
    -0.74
     Appalach
    -0.71
     Nadu
    -0.70
     Seah
    -0.69
     HMS
    -0.68
     Arkansas
    -0.68
    ACTED
    -0.67
     USS
    -0.67
    ModLoader
    -0.67
    stown
    -0.66
    POSITIVE LOGITS
    ü
    0.85
    iani
    0.85
    ÃŁ
    0.85
    auer
    0.81
    esson
    0.81
    ö
    0.80
    ér
    0.79
    agn
    0.77
    ulin
    0.77
    lez
    0.76
    Activations Density 0.205%

    No Known Activations