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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. 10-RES-JB
    11. 7304
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    Explanations

    phrases with a specific symbol sequence, likely for a special purpose such as programming or formatting

    oai_token-act-pair · gpt-3.5-turbo

    special characters or symbols resembling non-standard text formatting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wink
    -0.84
     scattering
    -0.77
     nod
    -0.71
     stagger
    -0.69
     gag
    -0.69
     wind
    -0.68
     flip
    -0.66
     Sapphire
    -0.66
     DPR
    -0.65
     scatter
    -0.65
    POSITIVE LOGITS
    º
    1.44
    ¹
    1.44
    į
    1.39
    Į
    1.38
    ı
    1.36
    ¬
    1.33
    £
    1.29
    °
    1.26
    Ĵ
    1.26
    §
    1.25
    Activations Density 0.248%

    No Known Activations