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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. 3-RES-JB
    11. 3370
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    Explanations

    personal pronouns expressing inclusivity

    oai_token-act-pair · gpt-3.5-turbo

    repetitive mentions of the word "we," indicating a focus on collaborative language

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    netflix
    -0.66
    nesota
    -0.61
    aults
    -0.59
     totality
    -0.58
    cum
    -0.58
    ions
    -0.58
     Citation
    -0.57
    minster
    -0.57
     srfAttach
    -0.57
    76561
    -0.57
    POSITIVE LOGITS
    've
    0.99
    arily
    0.97
    'll
    0.95
    're
    0.94
    bsite
    0.93
    athered
    0.91
    asel
    0.90
    IRD
    0.89
    'd
    0.87
     ourselves
    0.87
    Activations Density 0.283%

    No Known Activations