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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. 9517
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    Explanations

    measurements or tools related to assessment and estimation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurement and assessment

    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
    uality
    -0.81
    image
    -0.73
     Fathers
    -0.70
    photos
    -0.70
    ographers
    -0.69
    lvl
    -0.68
    ovie
    -0.68
    edia
    -0.68
    heid
    -0.67
    onyms
    -0.67
    POSITIVE LOGITS
     gau
    1.30
     gauge
    1.05
     buoy
    0.84
    vernment
    0.83
    UGE
    0.81
    ging
    0.79
    ãĤ¡
    0.78
    ves
    0.76
     stations
    0.73
     Gau
    0.71
    Activations Density 0.030%

    No Known Activations