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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. 10-RES-JB
    11. 767
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    Explanations

    references to specific computer science entities or terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "CS" followed by a numerical designation, likely referring to specific courses or topics in a computer science context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ously
    -0.73
     Mandela
    -0.69
    zzle
    -0.66
    atives
    -0.66
    erers
    -0.66
     Pharaoh
    -0.63
     Hearts
    -0.62
    iqueness
    -0.62
    accompanied
    -0.61
    zzi
    -0.60
    POSITIVE LOGITS
    IRO
    1.15
    GO
    1.08
    RF
    0.98
    KA
    0.97
    MX
    0.92
    IS
    0.86
    DN
    0.86
    GN
    0.85
    CEPT
    0.84
    MC
    0.83
    Activations Density 0.031%

    No Known Activations