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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. 3-RES-JB
    11. 4309
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    Explanations

    proper nouns or names of places

    oai_token-act-pair · gpt-3.5-turbo

    significant names and entities in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Vaugh
    -0.48
    ãĤ®
    -0.47
    Saharan
    -0.44
     suffice
    -0.44
    åij
    -0.44
    èª
    -0.43
    æĢ
    -0.42
    ardless
    -0.42
    '."
    -0.41
     Constantin
    -0.40
    POSITIVE LOGITS
    ams
    0.49
     âĢº
    0.49
    ode
    0.46
    keyes
    0.46
    omm
    0.45
    brids
    0.43
    odes
    0.42
    hom
    0.42
    sw
    0.42
    amin
    0.41
    Activations Density 1.345%

    No Known Activations