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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. 5945
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    Explanations

    phrases related to fundamental principles or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    references to fundamental concepts or principles

    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
     Leone
    -0.75
    nery
    -0.71
    fing
    -0.69
     Referred
    -0.69
    quer
    -0.68
    peak
    -0.68
    ILLE
    -0.68
    VERTIS
    -0.66
    pload
    -0.66
    fortune
    -0.65
    POSITIVE LOGITS
    ists
    1.27
    ism
    1.12
    ist
    1.09
     misunderstanding
    1.07
     alteration
    1.03
     truths
    1.01
    izes
    1.01
     tenets
    0.99
     difference
    0.99
    istic
    0.98
    Activations Density 0.038%

    No Known Activations