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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. 9-RES-JB
    11. 17504
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    Explanations

    phrases related to shifting focus from one thing to another

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to economic and social transformation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Jas
    -0.70
     Incredible
    -0.70
    xxxxxxxx
    -0.68
    fax
    -0.68
     Clever
    -0.68
     Rober
    -0.68
     priceless
    -0.65
     Heard
    -0.64
     lifes
    -0.64
     Awesome
    -0.63
    POSITIVE LOGITS
     focused
    1.39
     esche
    1.37
     focusing
    1.33
     focus
    1.32
     foc
    1.32
     reliance
    1.30
     emphasis
    1.28
     focuses
    1.27
     relying
    1.24
     centered
    1.22
    Activations Density 1.057%

    No Known Activations