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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. 8414
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    Explanations

    measurements expressed in meters (met) and centimeters (centimeters)

    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
     lax
    -0.80
     Akin
    -0.71
     peripher
    -0.67
     envy
    -0.65
     Sovere
    -0.65
     posing
    -0.62
     frivol
    -0.61
     behav
    -0.60
     Leilan
    -0.60
    ONSORED
    -0.59
    POSITIVE LOGITS
    ousand
    1.34
    illion
    1.30
    abyte
    1.19
    undred
    1.14
    imet
    1.07
    imeter
    1.04
    enth
    1.01
    aton
    1.00
    quart
    1.00
    ogram
    0.97
    Activations Density 0.063%

    No Known Activations