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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
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    Explanations

    mentions of isotopes

    oai_token-act-pair · gpt-3.5-turbo

    references to isotopes and their related properties

    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
    ned
    -0.89
    san
    -0.72
    ITED
    -0.68
    hood
    -0.67
     Franchise
    -0.67
    ãģį
    -0.67
     ABE
    -0.66
    STRUCT
    -0.66
     Kart
    -0.65
    ????????
    -0.65
    POSITIVE LOGITS
     isot
    1.07
    ropy
    0.97
    opes
    0.96
    opic
    0.91
     compositions
    0.90
    ope
    0.89
    ³
    0.87
    rop
    0.81
    ucl
    0.79
    »
    0.78
    Activations Density 0.016%

    No Known Activations