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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. 8716
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    Explanations

    words related to specific names and places

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names and terms, possibly related to brands or entities

    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
    ophe
    -0.67
     Beir
    -0.67
    helial
    -0.62
    uve
    -0.62
     msec
    -0.61
     Merc
    -0.61
     CLSID
    -0.61
    imeter
    -0.60
     perf
    -0.59
    imeters
    -0.59
    POSITIVE LOGITS
    Äģ
    0.98
    á¹
    0.96
    nces
    0.90
    arat
    0.89
    Ä«
    0.88
    yon
    0.88
    oka
    0.83
    vati
    0.82
    rising
    0.82
    oran
    0.79
    Activations Density 0.042%

    No Known Activations