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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. 14512
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    Explanations

    mentions of "pret" and words that start with "pret" in the text

    oai_token-act-pair · gpt-3.5-turbo
    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
    SHIP
    -0.85
    inventoryQuantity
    -0.77
    20439
    -0.75
     [|
    -0.72
    stocks
    -0.69
    士
    -0.69
    force
    -0.62
     Pulse
    -0.62
     Annotations
    -0.60
     Moving
    -0.60
    POSITIVE LOGITS
    entious
    1.30
    ension
    1.13
    reatment
    1.13
    ensions
    1.12
    rial
    1.05
    zel
    1.04
    reated
    1.04
    reating
    1.02
    ensible
    1.01
    inent
    0.99
    Activations Density 0.027%

    No Known Activations