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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. 22487
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    Explanations

    phrases related to personal struggles and reflections

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal struggle and societal issues

    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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    No Comments

    Negative Logits
    ussian
    -0.79
     extrad
    -0.77
     axe
    -0.76
    atis
    -0.74
    undle
    -0.74
    hement
    -0.73
     orchestr
    -0.72
    illo
    -0.70
     penal
    -0.69
    earch
    -0.69
    POSITIVE LOGITS
    Anonymous
    0.92
    Luckily
    0.91
    ³³³³³³³³³³³³³³³³
    0.90
    Thankfully
    0.90
    My
    0.90
    Anyway
    0.89
    Being
    0.88
    --------------------------------------------------------
    0.88
    ³³³³
    0.88
    Advertisements
    0.87
    Activations Density 0.678%

    No Known Activations