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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. 23606
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    Explanations

    ages or ranges of ages as described in decades

    oai_token-act-pair · gpt-3.5-turbo

    references to age and age ranges of individuals

    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
    Not in Any Lists

    No Comments

    Negative Logits
     retali
    -0.71
    atl
    -0.69
     diversion
    -0.66
     coordination
    -0.64
     coord
    -0.64
     diverted
    -0.63
     coordinated
    -0.62
     Atlantis
    -0.60
    onal
    -0.60
     modes
    -0.60
    POSITIVE LOGITS
     birthday
    0.92
    years
    0.92
    omething
    0.89
     marry
    0.82
     marrying
    0.81
    NetMessage
    0.79
     retire
    0.79
    opausal
    0.77
    irement
    0.76
     nearing
    0.74
    Activations Density 0.169%

    No Known Activations