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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. 7-RES-JB
    11. 2072
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    Explanations

    numeric values related to data or formatting in a technical context

    oai_token-act-pair · gpt-3.5-turbo

    numerical and symbol-based formats, especially in a data or metadata context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     astroph
    -0.69
    PRES
    -0.68
     inj
    -0.66
     Tec
    -0.65
     sidelines
    -0.65
     unders
    -0.65
     diagn
    -0.64
     Pres
    -0.63
     groom
    -0.63
     asthma
    -0.62
    POSITIVE LOGITS
    2
    1.29
    3
    1.24
    ĭ
    1.19
    ĩ
    1.03
    ĺ
    1.01
    1
    1.01
    4
    0.99
    Ģ
    0.96
    ĥ
    0.96
     2
    0.92
    Activations Density 0.152%

    No Known Activations