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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. 4-RES-JB
    11. 1587
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    Explanations

    mentions of employment and workforce

    oai_token-act-pair · gpt-3.5-turbo

    words related to employment and job positions

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

    No Comments

    Negative Logits
     Bagg
    -0.67
    etsk
    -0.65
     Patriarch
    -0.65
     Oo
    -0.64
    etry
    -0.61
     sheer
    -0.61
    ocol
    -0.61
     Strait
    -0.60
     Wass
    -0.59
     enthus
    -0.59
    POSITIVE LOGITS
    rious
    0.83
    ments
    0.82
    riet
    0.80
    orney
    0.78
    ancies
    0.76
    VERTISEMENT
    0.75
    eering
    0.75
    HAEL
    0.75
    eers
    0.74
    ateurs
    0.74
    Activations Density 0.012%

    No Known Activations