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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. 7246
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    Explanations

    words related to technology and gadgets, specifically focusing on aspects related to "optic" and "thumbs."

    oai_token-act-pair · gpt-3.5-turbo

    technical terms related to optics and image resolution

    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
    Merit
    -0.85
     SERV
    -0.80
     KR
    -0.73
    lessness
    -0.72
    IRD
    -0.71
    çĶ°
    -0.69
    CTV
    -0.68
    çĦ
    -0.68
    adr
    -0.67
     NUM
    -0.64
    POSITIVE LOGITS
    ptic
    1.15
    ocalypse
    0.93
    emic
    0.83
     acid
    0.78
    monary
    0.78
    aptic
    0.77
    artisan
    0.75
    etry
    0.75
    ulous
    0.73
    obar
    0.73
    Activations Density 0.016%

    No Known Activations