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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. 12-RES-JB
    6. 14539
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    INDEX
    Explanations

    phrases related to security and access control procedures

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    repetitive patterns and references to absence or voids

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eele
    -0.81
    artney
    -0.74
    ruck
    -0.71
    EStream
    -0.66
    interstitial
    -0.65
    ãĤ¼ãĤ¦ãĤ¹
    -0.64
    avis
    -0.64
    veland
    -0.63
    abre
    -0.62
    etch
    -0.61
    POSITIVE LOGITS
     no
    1.56
    no
    1.40
     nothing
    1.24
     NO
    1.23
     No
    1.23
    No
    1.19
     nobody
    1.15
     none
    1.15
    nothing
    1.09
     zero
    1.07
    Activations Density 0.353%

    No Known Activations