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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. 3-RES-JB
    6. 11677
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    Explanations

    phrases related to the usage of different products or services

    oai_token-act-pair · gpt-3.5-turbo

    terms related to frequency or measurement of usage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inosaur
    -0.76
    tell
    -0.71
     Barg
    -0.70
    sonian
    -0.67
     Kore
    -0.65
    bitious
    -0.65
    rop
    -0.64
    hair
    -0.62
    meat
    -0.62
    abella
    -0.61
    POSITIVE LOGITS
     habits
    0.87
    ername
    0.80
     usage
    0.80
    iences
    0.78
     patterns
    0.78
     misuse
    0.73
     diffusion
    0.68
     interfaces
    0.68
    atility
    0.68
     proficiency
    0.68
    Activations Density 0.010%

    No Known Activations