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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. 2-RES-JB
    11. 12785
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    Explanations

    phrases related to safety and accreditation

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with accreditation and safety standards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OPLE
    -0.81
    geist
    -0.80
     hope
    -0.69
    hs
    -0.69
    çīĪ
    -0.68
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.68
    vous
    -0.66
    wich
    -0.65
    PT
    -0.65
    uyomi
    -0.64
    POSITIVE LOGITS
    ommod
    1.22
    redited
    1.20
    enture
    1.12
    reditation
    1.09
    ompl
    1.06
    used
    1.01
    laim
    1.01
    identally
    0.99
    urate
    0.98
    imate
    0.96
    Activations Density 0.005%

    No Known Activations