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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. 6-RES-JB
    11. 7461
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    Explanations

    phrases related to learning from experiences or mistakes

    oai_token-act-pair · gpt-3.5-turbo

    references to learning from past experiences or mistakes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inence
    -0.87
    mouth
    -0.84
    needed
    -0.77
    isphere
    -0.73
    stem
    -0.72
    ifix
    -0.72
    idy
    -0.72
    olson
    -0.72
    airs
    -0.71
    nel
    -0.70
    POSITIVE LOGITS
     afar
    1.17
     scratch
    0.98
     whence
    0.92
    ©¶æ
    0.81
     Experience
    0.78
     Rav
    0.71
     Fukushima
    0.71
     whichever
    0.70
     Parad
    0.68
     experience
    0.67
    Activations Density 0.102%

    No Known Activations