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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. 11-RES-JB
    11. 12693
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    INDEX
    Explanations

    phrases indicating ways to attract various entities like investments, skilled individuals, or attention

    oai_token-act-pair · gpt-3.5-turbo

    terms related to attracting talent and investment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¢
    -0.79
    士
    -0.75
    itone
    -0.74
    ©¶æ
    -0.73
    £ı
    -0.69
    saf
    -0.68
    DIT
    -0.67
    bard
    -0.67
    ·
    -0.66
    çĦ
    -0.66
    POSITIVE LOGITS
     attention
    1.30
     visitors
    1.13
     tourists
    1.11
     advertisers
    1.10
     investors
    1.04
     hordes
    0.99
     unwanted
    0.97
     followers
    0.96
     recruits
    0.96
     viewers
    0.96
    Activations Density 0.117%

    No Known Activations