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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. 3316
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    Explanations

    mention of various names, likely related to prominent individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper names, particularly of people and places

    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
    Not in Any Lists

    No Comments

    Negative Logits
    amera
    -0.81
     Reloaded
    -0.77
    ettings
    -0.76
    ynthesis
    -0.75
    BLIC
    -0.72
    merce
    -0.71
    åº
    -0.71
    ð
    -0.70
     Helpful
    -0.64
    EVA
    -0.64
    POSITIVE LOGITS
    nuts
    0.80
    obos
    0.74
    sym
    0.72
    ifax
    0.71
    forth
    0.71
    atin
    0.71
    inas
    0.71
    VM
    0.70
    ricane
    0.70
    mong
    0.70
    Activations Density 0.026%

    No Known Activations