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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. 9-RES-JB
    11. 4295
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    Explanations

    words related to physical movements or actions, specifically focusing on jumping or leaping

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ©
    -0.74
     Apocalypse
    -0.65
    TeX
    -0.65
     Deadline
    -0.63
    NING
    -0.59
     domin
    -0.58
    ©¶æ
    -0.58
     Cyborg
    -0.55
    JECT
    -0.55
    POL
    -0.55
    POSITIVE LOGITS
    imore
    1.20
    zman
    1.09
    ogether
    1.00
    reatment
    0.98
    ierra
    0.94
    ree
    0.90
    ry
    0.88
    itude
    0.86
    ucket
    0.86
    agne
    0.85
    Activations Density 0.050%

    No Known Activations