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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. 1778
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    Explanations

    names of public figures and organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly focusing on names

    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
    ccording
    -0.76
     microwave
    -0.76
     Origin
    -0.67
    ASED
    -0.66
     sampled
    -0.65
    âĸ¬
    -0.65
     predatory
    -0.64
     SCHOOL
    -0.64
    IDER
    -0.64
    pta
    -0.63
    POSITIVE LOGITS
     Madd
    1.05
    ox
    1.02
    ings
    0.91
    oline
    0.90
    ening
    0.90
    ota
    0.89
    erton
    0.88
    eus
    0.87
    ison
    0.87
    enh
    0.86
    Activations Density 0.009%

    No Known Activations