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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. 2-RES-JB
    11. 5481
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of key individuals or names in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ork
    -0.80
    aten
    -0.74
    ijing
    -0.74
    elist
    -0.73
    thens
    -0.71
    icion
    -0.70
    otomy
    -0.69
    roit
    -0.69
    translation
    -0.68
    leon
    -0.68
    POSITIVE LOGITS
     Hess
    0.93
     Nichols
    0.90
     Piper
    0.85
     Dickinson
    0.84
     Byrd
    0.74
     Meier
    0.73
     Rowe
    0.71
    RESULTS
    0.71
     Frey
    0.69
     Dixon
    0.68
    Activations Density 0.021%

    No Known Activations