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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
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    Explanations

    words related to things coming to an end or conclusions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to financial and economic concepts

    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
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    Negative Logits
    itta
    -0.68
    sonian
    -0.66
     Ended
    -0.63
     incon
    -0.61
     earliest
    -0.60
    ashtra
    -0.60
     obs
    -0.59
     utmost
    -0.58
     Cthulhu
    -0.56
    ItemTracker
    -0.55
    POSITIVE LOGITS
    enment
    0.99
    osph
    0.84
    asons
    0.79
    utions
    0.73
    ourse
    0.71
    rious
    0.69
    ourses
    0.69
    atives
    0.69
    ment
    0.67
    atio
    0.65
    Activations Density 0.112%

    No Known Activations