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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 5337
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    Explanations

    pronouns and verbs related to putting oneself or others in certain situations or conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to personal responsibility and risk involving oneself and others

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.66
     sqor
    -0.57
    Winged
    -0.55
    Uncommon
    -0.54
     dh
    -0.51
    oris
    -0.51
    ALSE
    -0.50
     Provides
    -0.50
     concession
    -0.49
    /,
    -0.49
    POSITIVE LOGITS
     aside
    0.99
     squarely
    0.96
     into
    0.87
     together
    0.83
     toget
    0.82
     forth
    0.81
     smack
    0.75
     ashore
    0.74
     firmly
    0.74
    together
    0.73
    Activations Density 0.118%

    No Known Activations