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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. 23067
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    Explanations

    mentions of the act of hiring or being hired

    oai_token-act-pair · gpt-3.5-turbo

    terms related to hiring and employment

    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
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    No Comments

    Negative Logits
    ican
    -0.76
    iversal
    -0.72
    ocol
    -0.67
    ĸļ
    -0.66
    ica
    -0.66
    00007
    -0.66
    ique
    -0.65
    phy
    -0.64
    orld
    -0.63
    alone
    -0.62
    POSITIVE LOGITS
    glers
    0.94
     mercenaries
    0.92
     assistants
    0.85
     hired
    0.85
    lings
    0.77
     hire
    0.75
    ees
    0.72
     freel
    0.71
     interns
    0.69
     hires
    0.68
    Activations Density 0.046%

    No Known Activations