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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 13873
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    INDEX
    Explanations

    instances of the word "Facebook"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Facebook

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ....
    -0.74
     sat
    -0.71
     stud
    -0.70
     ---
    -0.68
     belt
    -0.67
    ......
    -0.65
    ...
    -0.64
     armor
    -0.64
     orig
    -0.63
     respectively
    -0.63
    POSITIVE LOGITS
    Facebook
    4.16
    facebook
    2.25
     Facebook
    1.98
    Twitter
    1.90
     facebook
    1.73
    YouTube
    1.53
    Reddit
    1.38
    LinkedIn
    1.38
    Google
    1.34
    Tumblr
    1.34
    Activations Density 0.018%

    No Known Activations