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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. 6-RES-JB
    6. 1093
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    INDEX
    Explanations

    venues where performances take place

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the location of performances or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FTWARE
    -0.83
    vous
    -0.76
    lda
    -0.76
    zyk
    -0.75
    REDACTED
    -0.72
    Lens
    -0.70
    quel
    -0.69
    rider
    -0.66
    cro
    -0.65
    Ti
    -0.65
    POSITIVE LOGITS
     least
    1.24
     halftime
    0.96
    onement
    0.88
    yp
    0.85
     conferences
    0.84
     airports
    0.83
     home
    0.81
     cafes
    0.79
    abase
    0.78
     conventions
    0.78
    Activations Density 0.186%

    No Known Activations