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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. 6-RES-JB
    11. 760
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    Explanations

    personal pronouns followed by a verb indicating action

    oai_token-act-pair · gpt-3.5-turbo

    references to personal pronouns and collective identity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vine
    -0.73
     Spur
    -0.69
     semantics
    -0.63
    lihood
    -0.63
     Agenda
    -0.60
     Artemis
    -0.59
     Pearson
    -0.58
     Optional
    -0.58
     Proced
    -0.58
     Curve
    -0.58
    POSITIVE LOGITS
    arers
    0.85
    edin
    0.78
    athered
    0.78
    mble
    0.77
     encountered
    0.74
     frequ
    0.74
    istries
    0.73
    sembly
    0.73
    liam
    0.72
    chwitz
    0.72
    Activations Density 0.207%

    No Known Activations