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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. 8637
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    Explanations

    proper names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and institutions

    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
    etheless
    -0.76
     seiz
    -0.74
    vertisement
    -0.67
     citiz
    -0.67
     Citiz
    -0.65
    querque
    -0.64
     skelet
    -0.63
     conflic
    -0.61
     glim
    -0.61
     undermin
    -0.60
    POSITIVE LOGITS
    lein
    0.88
    witz
    0.85
     Productions
    0.84
    bilt
    0.83
    orst
    0.82
    wald
    0.80
    baum
    0.78
    berger
    0.76
     Brothers
    0.75
    mint
    0.74
    Activations Density 0.229%

    No Known Activations