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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 6272
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    Explanations

    specific years from the 1950s, 1960s, and 1970s

    oai_token-act-pair · gpt-3.5-turbo

    references to specific decades and their associated years

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abol
    -0.73
    head
    -0.71
    atro
    -0.70
    plan
    -0.70
    ONS
    -0.70
    henko
    -0.68
    abolic
    -0.68
    spons
    -0.67
    que
    -0.67
    ques
    -0.64
    POSITIVE LOGITS
    s
    1.29
    sburg
    1.05
    sie
    0.98
    sburgh
    0.96
    enthal
    0.84
    eenth
    0.84
    si
    0.78
    sd
    0.77
    enstein
    0.77
    ies
    0.76
    Activations Density 0.017%

    No Known Activations