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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. 8910
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    Explanations

    references to urban or public space issues

    oai_token-act-pair · gpt-3.5-turbo

    issues related to social concerns and community complaints

    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
    raq
    -0.61
     thesis
    -0.60
    obin
    -0.59
     plaus
    -0.59
     Journals
    -0.58
     withdrew
    -0.56
     ([
    -0.56
     ['
    -0.56
    ructure
    -0.55
    ellect
    -0.55
    POSITIVE LOGITS
     locals
    0.86
     indoor
    0.78
     indoors
    0.77
     tourists
    0.74
    Residents
    0.74
     roadside
    0.72
     tourist
    0.70
     outdoor
    0.67
     toilets
    0.67
     pests
    0.66
    Activations Density 1.741%

    No Known Activations