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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 20289
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    Explanations

    phrases related to planning and intentions

    oai_token-act-pair · gpt-3.5-turbo

    references to creative projects and planning

    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
    hest
    -0.76
    bound
    -0.65
    arest
    -0.65
     cannot
    -0.65
    ety
    -0.64
    imum
    -0.63
     helpless
    -0.63
    htaking
    -0.63
     unquestion
    -0.62
     evidently
    -0.61
    POSITIVE LOGITS
     someday
    1.18
     somew
    1.09
     another
    0.94
     sequels
    0.91
     MORE
    0.88
     bigger
    0.87
     something
    0.86
     more
    0.86
     some
    0.85
     commissions
    0.81
    Activations Density 0.509%

    No Known Activations