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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. 3-RES-JB
    11. 3901
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    Explanations

    words related to high-technology devices and services

    oai_token-act-pair · gpt-3.5-turbo

    references to high-speed internet services or technologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ICLE
    -0.64
    veyard
    -0.63
     Queens
    -0.60
     Hawth
    -0.59
     Became
    -0.57
    ¾
    -0.57
    nostic
    -0.56
    ĸļ
    -0.55
     disapp
    -0.55
     disband
    -0.54
    POSITIVE LOGITS
     (>
    0.99
    resolution
    0.77
    âĶĢâĶĢâĶĢâĶĢ
    0.71
     levels
    0.71
    enough
    0.70
    Availability
    0.70
    enser
    0.70
    ranking
    0.66
    owship
    0.66
     earners
    0.65
    Activations Density 0.210%

    No Known Activations