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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. 6-RES-JB
    6. 22415
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    Explanations

    phrases related to the fundamental basis or origin of things

    oai_token-act-pair · gpt-3.5-turbo

    phrases relating to foundational beliefs or principles

    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
    bats
    -0.70
    mouth
    -0.68
    fal
    -0.68
    lys
    -0.68
    ©¶æ¥µ
    -0.68
    listed
    -0.66
    ©¶æ
    -0.66
    crim
    -0.64
    washer
    -0.63
    bass
    -0.63
    POSITIVE LOGITS
     necessity
    0.82
     prag
    0.81
     belief
    0.77
     principle
    0.76
     teamwork
    0.74
     extracting
    0.72
     frustration
    0.72
     figuring
    0.72
     misunderstanding
    0.70
     merit
    0.70
    Activations Density 0.241%

    No Known Activations