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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. 8-RES-JB
    11. 17024
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    Explanations

    phrases related to levels or degrees of something, such as 'level of maturity' or 'level of detail'

    oai_token-act-pair · gpt-3.5-turbo

    references to varying degrees or levels of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    maid
    -0.84
    paces
    -0.81
    ttes
    -0.74
    nets
    -0.73
    aired
    -0.70
    wright
    -0.70
    ãĥ¼ãĥĨãĤ£
    -0.69
    books
    -0.67
    ÙIJ
    -0.67
    ãĥŁ
    -0.67
    POSITIVE LOGITS
     sophistication
    1.37
     maturity
    1.22
     professionalism
    1.20
     abstraction
    1.20
     scrutiny
    1.17
     confidence
    1.04
     intensity
    1.03
     refinement
    1.01
     attainment
    1.00
     competence
    1.00
    Activations Density 0.068%

    No Known Activations