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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. 4-RES-JB
    11. 20055
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    Explanations

    mentions of temporary shelter structures, particularly tents and encampments

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of camps and encampments

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

    No Comments

    Negative Logits
     curv
    -0.71
     Universe
    -0.69
     symmetry
    -0.67
     Formula
    -0.66
    relations
    -0.63
    orporated
    -0.63
     subclass
    -0.62
     Thro
    -0.61
     prob
    -0.60
     modulation
    -0.60
    POSITIVE LOGITS
     tents
    1.22
     encamp
    1.19
    camp
    1.00
     camps
    0.95
    ites
    0.88
     camping
    0.87
     camp
    0.87
     shelters
    0.86
    pees
    0.84
     beds
    0.82
    Activations Density 0.024%

    No Known Activations