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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. 11962
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    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or notable characters

    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
    à¼
    -0.88
    culosis
    -0.81
    ãĥ¯
    -0.78
    ãĥ¼ãĥĨãĤ£
    -0.76
    ãĥĦ
    -0.76
    isks
    -0.75
    llah
    -0.75
    anwhile
    -0.73
     Antar
    -0.73
    iveness
    -0.73
    POSITIVE LOGITS
    Lay
    0.89
     Lay
    0.88
    nda
    0.87
    aching
    0.86
    Maker
    0.83
    sheets
    0.80
    field
    0.79
    stairs
    0.78
    tons
    0.76
    holder
    0.75
    Activations Density 0.012%

    No Known Activations