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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. 4-RES-JB
    6. 15046
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    Explanations

    measurements and tools related to assessing various aspects or qualities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurement and evaluation

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

    No Comments

    Negative Logits
     Fathers
    -0.85
    uality
    -0.76
    scape
    -0.73
    heid
    -0.71
    sis
    -0.71
    orig
    -0.68
    Lay
    -0.68
    ————————
    -0.67
     Origins
    -0.67
    edia
    -0.66
    POSITIVE LOGITS
     gau
    1.38
     gauge
    1.27
     buoy
    0.86
     Pens
    0.80
     stations
    0.80
     Gau
    0.76
    UGE
    0.74
     pigeon
    0.71
    chell
    0.71
     station
    0.71
    Activations Density 0.007%

    No Known Activations