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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. 1-RES-JB
    11. 23258
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific names or terms related to individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     EntityItem
    -0.84
    bour
    -0.74
    Anonymous
    -0.71
     GOODMAN
    -0.69
    ç«
    -0.67
    Express
    -0.66
    Merit
    -0.65
    ONSORED
    -0.65
    rir
    -0.65
     acceleration
    -0.65
    POSITIVE LOGITS
    xual
    1.01
    rone
    0.98
    rine
    0.91
    oples
    0.85
    OTUS
    0.85
    OPLE
    0.84
    anamo
    0.83
    ACE
    0.78
    uberty
    0.76
    phrine
    0.75
    Activations Density 0.012%

    No Known Activations