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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. 1-RES-JB
    11. 13084
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    Explanations

    words related to social media activities such as "retweeting" and "cameo" appearances

    oai_token-act-pair · gpt-3.5-turbo

    mentions of social media actions and their effects, particularly focusing on retweeting and recurring themes around certain substances like kratom

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apor
    -0.93
    itutional
    -0.84
    ayer
    -0.78
    ebus
    -0.74
    nih
    -0.72
     rotten
    -0.69
    Cu
    -0.68
    abus
    -0.67
    amphetamine
    -0.66
    asonic
    -0.66
    POSITIVE LOGITS
    DragonMagazine
    0.84
     reminders
    0.74
    Lago
    0.72
    lez
    0.70
    lys
    0.70
     Bundy
    0.69
    ãĥĥãĤ¯
    0.67
     sightings
    0.67
     Bald
    0.65
    ="/
    0.65
    Activations Density 0.024%

    No Known Activations