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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. 8-RES-JB
    11. 726
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    INDEX
    Explanations

    positive affirmations or calls to action

    oai_token-act-pair · gpt-3.5-turbo

    expressions of excitement or enthusiasm

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiActiveUnfocused
    -0.79
     shack
    -0.73
     RAD
    -0.67
     assembly
    -0.67
     publicity
    -0.65
     CLR
    -0.64
    ãĥ¼ãĥĨ
    -0.64
     manufacturing
    -0.63
     scattering
    -0.63
     ignition
    -0.63
    POSITIVE LOGITS
    £
    1.16
    ¤
    1.13
    ª
    1.11
    ¢
    1.02
    ¼
    1.00
    Ĵ
    1.00
    º
    1.00
    ¬
    0.98
    ¢
    0.98
    Ķ
    0.98
    Activations Density 0.128%

    No Known Activations