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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. 3-RES-JB
    11. 21018
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    Explanations

    dollar amounts

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and financial figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arial
    -0.82
    agan
    -0.81
    pour
    -0.76
    warts
    -0.74
    achi
    -0.74
    swick
    -0.73
    kell
    -0.72
    abal
    -0.71
    alez
    -0.71
    ito
    -0.70
    POSITIVE LOGITS
     MHz
    0.82
     NX
    0.81
    MHz
    0.76
    000
    0.72
     Leban
    0.71
    +)
    0.71
    0002
    0.70
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.70
    00000
    0.70
    mAh
    0.68
    Activations Density 0.043%

    No Known Activations