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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. 5300
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    Explanations

    instances where law enforcement intervention is mentioned

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "stopped"

    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
    ighth
    -0.81
    alty
    -0.77
    bold
    -0.76
    inen
    -0.75
    eve
    -0.74
    é¾įåĸļ士
    -0.73
    rocket
    -0.72
    Space
    -0.71
    Sov
    -0.70
    elf
    -0.70
    POSITIVE LOGITS
     abruptly
    0.75
     bothering
    0.73
    watching
    0.70
    gap
    0.69
    ŃĶ
    0.68
     breathing
    0.68
     seiz
    0.67
    watch
    0.67
     blinking
    0.67
     lifes
    0.66
    Activations Density 0.028%

    No Known Activations