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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. 15189
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    INDEX
    Explanations

    time-sensitive actions or events

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    uren
    -0.68
    otine
    -0.67
    riad
    -0.60
     fault
    -0.60
    illard
    -0.60
    ramid
    -0.59
    oret
    -0.57
    otally
    -0.57
    jah
    -0.57
     Parties
    -0.56
    POSITIVE LOGITS
    frames
    0.84
    trial
    0.80
     zones
    0.74
     stamps
    0.74
    bral
    0.73
     intervals
    0.73
    zone
    0.73
    frame
    0.73
    pieces
    0.71
    î
    0.71
    Activations Density 0.032%

    No Known Activations