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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. 2726
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    INDEX
    Explanations

    statements expressing opinions or feelings about specific events

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and their occurrences in sentences

    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
     crocod
    -1.00
     choking
    -0.92
     modelling
    -0.88
     brid
    -0.88
     contingency
    -0.87
     velvet
    -0.86
     ape
    -0.84
     emb
    -0.84
     asbestos
    -0.82
     Tarant
    -0.82
    POSITIVE LOGITS
    âĹı
    1.52
    Ļ
    1.51
    âĺ
    1.31
    ãĥ©ãĥ³
    1.30
    Gil
    1.28
    ãģĵ
    1.27
    ç¥ŀ
    1.27
    ï
    1.27
    ãĥ¡
    1.27
    Loading
    1.26
    Activations Density 0.123%

    No Known Activations