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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 14661
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    Explanations

    scientific or technical terms related to data analysis or research, such as 'predictions', 'assumptions', and 'measurements'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to predictions and assumptions in various contexts

    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
    asus
    -0.76
    culus
    -0.63
    onel
    -0.62
     mobility
    -0.62
    steamapps
    -0.62
     nerve
    -0.61
    bia
    -0.60
    avis
    -0.60
     bonding
    -0.58
    riot
    -0.58
    POSITIVE LOGITS
     regarding
    1.01
    mith
    0.97
     concerning
    0.97
    uggest
    0.96
    ayers
    0.89
     pertaining
    0.85
    ensical
    0.80
    hooting
    0.76
    ynthesis
    0.74
    ynt
    0.74
    Activations Density 0.165%

    No Known Activations