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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. 50
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    Explanations

    phrases related to geographical locations and landmarks

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of "embarrassment" or "being embarrassed."

    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
    姫
    -1.06
    wagen
    -0.83
    ãĥ³ãĤ¸
    -0.80
    BuyableInstoreAndOnline
    -0.79
    ãĥīãĥ©ãĤ´ãĥ³
    -0.75
    ãĥ¼ãĥ³
    -0.74
    bucks
    -0.73
    ELY
    -0.73
    ãĥ¼ãĥĨãĤ£
    -0.71
     è£ı
    -0.70
    POSITIVE LOGITS
     emb
    1.11
    odied
    1.04
    emb
    0.92
    arrass
    0.91
    olicy
    0.90
    assies
    0.90
    odies
    0.89
    attled
    0.87
    ourgeois
    0.84
    argo
    0.83
    Activations Density 0.012%

    No Known Activations