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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. 4834
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    Explanations

    technical descriptions and instructions for building and assembling various items

    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
    assment
    -0.73
     Gamble
    -0.65
    DEN
    -0.62
    mA
    -0.61
    ANCE
    -0.61
    SPONSORED
    -0.60
    rance
    -0.60
    ãĥ©ãĥ³
    -0.60
     SHARES
    -0.59
     pursuit
    -0.59
    POSITIVE LOGITS
     manually
    1.34
     yourself
    1.24
     yourselves
    1.20
     separately
    1.17
     ourselves
    1.13
     herself
    1.12
     myself
    1.11
     himself
    1.11
     anew
    1.08
     beforehand
    1.07
    Activations Density 0.315%

    No Known Activations