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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 5167
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    Explanations

    phrases related to transitions in time or stages

    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
     Wikileaks
    -0.78
     confession
    -0.70
     cryptography
    -0.66
     Reddit
    -0.66
     Coinbase
    -0.65
     IMAGES
    -0.64
     informant
    -0.63
    Wiki
    -0.63
     informants
    -0.63
     Allaah
    -0.62
    POSITIVE LOGITS
    Finish
    0.68
    ãĤ©
    0.66
     operate
    0.66
    ãĥīãĥ©
    0.65
     overrun
    0.63
     exting
    0.62
    ighty
    0.61
     reintrodu
    0.60
    ageddon
    0.60
     wiped
    0.60
    Activations Density 0.810%

    No Known Activations