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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. 7-RES-JB
    11. 131
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    Explanations

    phrases related to a state or position of advantage or disadvantage

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating various states or positions of individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oys
    -0.66
     Verify
    -0.63
    zhou
    -0.62
    amba
    -0.61
    wheel
    -0.61
     happens
    -0.59
    naires
    -0.59
     Ensure
    -0.58
     showed
    -0.58
     Storage
    -0.58
    POSITIVE LOGITS
     unwelcome
    0.87
     "$:/
    0.80
     happiest
    0.74
     closer
    0.73
    chuk
    0.70
    ãĥ¯ãĥ³
    0.70
    aterasu
    0.68
     jeopardy
    0.68
     peril
    0.68
    ãĤ´ãĥ³
    0.68
    Activations Density 0.233%

    No Known Activations