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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. 3-RES-JB
    11. 3286
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    Explanations

    mentions of high-definition technology

    oai_token-act-pair · gpt-3.5-turbo

    references to high-definition (HD) video or audio technologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    notations
    -0.76
    notation
    -0.70
    alties
    -0.67
     whistle
    -0.65
    ique
    -0.65
     unfamiliar
    -0.64
    ãĥĦ
    -0.63
    bes
    -0.62
    uable
    -0.61
    glers
    -0.61
    POSITIVE LOGITS
    ware
    0.89
    rox
    0.86
    iamond
    0.84
    OOD
    0.76
    III
    0.75
    roxy
    0.74
    intosh
    0.73
    Ħ¢
    0.73
    ©¶æ¥µ
    0.73
    awei
    0.72
    Activations Density 0.011%

    No Known Activations