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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. 6-RES-JB
    11. 630
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    INDEX
    Explanations

    mentions of proper nouns related to individuals or companies

    oai_token-act-pair · gpt-3.5-turbo

    words related to social activities or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ij士
    -0.75
    »Ĵ
    -0.73
     Sending
    -0.66
    Ļ½
    -0.65
    -+-+
    -0.64
    ICAN
    -0.64
     Kinnikuman
    -0.62
    ©¶æ
    -0.61
    Setting
    -0.58
    ãĥĩ
    -0.58
    POSITIVE LOGITS
    ibaba
    0.96
    iland
    0.85
    bucks
    0.84
    lde
    0.75
    lings
    0.73
    kee
    0.73
    buck
    0.71
    heit
    0.71
    agger
    0.70
    landers
    0.67
    Activations Density 0.047%

    No Known Activations