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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. 10-RES-JB
    11. 4810
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    Explanations

    words related to specific times or events at night

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģĦ
    -0.64
    onne
    -0.60
    Maker
    -0.58
     parcels
    -0.57
    Done
    -0.57
     Galile
    -0.56
    pta
    -0.56
     Controls
    -0.56
    eq
    -0.55
    recy
    -0.55
    POSITIVE LOGITS
    cap
    0.84
    fall
    0.72
    weed
    0.67
     EDT
    0.65
    alian
    0.64
     hosted
    0.63
     airing
    0.61
    adi
    0.60
     FC
    0.59
    hyde
    0.59
    Activations Density 0.049%

    No Known Activations