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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. 5-RES-JB
    6. 16886
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    INDEX
    Explanations

    words indicating discovery or realization

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "find" in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
     fue
    -0.67
     partic
    -0.66
    idium
    -0.65
     paced
    -0.64
    istry
    -0.63
    isoft
    -0.62
     captcha
    -0.62
     concess
    -0.61
    inion
    -0.60
    brance
    -0.60
    POSITIVE LOGITS
    omething
    0.79
    ½
    0.77
    ById
    0.76
    ãĤ¼
    0.75
    -+-+
    0.75
    ãĤ¤ãĥĪ
    0.74
    ibility
    0.70
    Ö¼
    0.68
    使
    0.68
    ource
    0.67
    Activations Density 0.063%

    No Known Activations