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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 21031
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    Explanations

    code snippets involving iterations and functions

    oai_token-act-pair · gpt-3.5-turbo

    programming-related syntax and function definitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    aeda
    -0.77
    aucuses
    -0.74
    âĢİ
    -0.70
    abouts
    -0.70
    lihood
    -0.69
    ortment
    -0.66
    anthrop
    -0.66
     Canaver
    -0.66
    ĸļ
    -0.65
    photos
    -0.65
    POSITIVE LOGITS
     +=
    1.13
     :=
    1.03
     };
    0.98
     <-
    0.98
     }
    0.91
    ();
    0.89
    ++;
    0.87
     -=
    0.87
     })
    0.87
     ();
    0.87
    Activations Density 0.160%

    No Known Activations