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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. 155
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    Explanations

    mentions of issues related to socioeconomic classes, particularly the middle class

    oai_token-act-pair · gpt-3.5-turbo

    references to the middle class

    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
    SIGN
    -0.79
    atche
    -0.76
    NVIDIA
    -0.70
    utra
    -0.70
    etics
    -0.69
    ilings
    -0.67
    orthy
    -0.64
    cci
    -0.63
    PLIC
    -0.63
    pedia
    -0.63
    POSITIVE LOGITS
    middle
    0.80
     glove
    0.79
     middle
    0.78
     lane
    0.72
    piece
    0.72
     responders
    0.72
    stad
    0.71
     finger
    0.69
    ies
    0.67
     seam
    0.67
    Activations Density 0.009%

    No Known Activations