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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. 2672
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    Explanations

    technical words related to operating systems, particularly versions OS 9 and OS 8

    oai_token-act-pair · gpt-3.5-turbo

    references to operating systems

    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
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    No Comments

    Negative Logits
    rences
    -0.76
    hur
    -0.71
    ouses
    -0.71
     Finn
    -0.68
    aneous
    -0.66
    ildo
    -0.66
    uated
    -0.62
    ries
    -0.61
    unct
    -0.61
    reys
    -0.60
    POSITIVE LOGITS
    DAQ
    1.03
    OS
    0.90
    Gi
    0.90
    OLOG
    0.88
    PF
    0.87
    OM
    0.86
     ANGEL
    0.86
    HA
    0.82
    OLOGY
    0.82
    omal
    0.82
    Activations Density 0.008%

    No Known Activations