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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 18027
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    Explanations

    mobile applications (apps) or related technological terms

    oai_token-act-pair · gpt-3.5-turbo

    references to mobile applications and their functionalities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ieth
    -0.76
    bent
    -0.73
    outhern
    -0.71
    hospital
    -0.69
    Henry
    -0.64
    nuclear
    -0.63
     nobles
    -0.63
    emetery
    -0.62
     occupations
    -0.62
     crem
    -0.62
    POSITIVE LOGITS
     Firefox
    1.06
     Chrome
    1.04
     apps
    1.03
     Gmail
    1.02
     Snapchat
    1.02
     Mozilla
    1.01
     touchscreen
    1.00
     downloaded
    0.99
     rollout
    0.98
     iOS
    0.97
    Activations Density 0.637%

    No Known Activations