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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. 4-RES-JB
    11. 24315
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    Explanations

    texts with a pattern of 'Once I have [done something], voluntarily looked after'

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the character "âĢ" in the text

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

    No Comments

    Negative Logits
     scattering
    -0.80
     Voyager
    -0.74
     floating
    -0.71
     detached
    -0.71
     dust
    -0.71
     scatter
    -0.70
     bunk
    -0.69
     bye
    -0.68
     casting
    -0.68
     glasses
    -0.68
    POSITIVE LOGITS
    Į
    0.94
    ¹
    0.94
    £
    0.92
    taboola
    0.87
    ¤
    0.84
    encies
    0.81
    ı
    0.80
    ł
    0.80
    Alert
    0.80
    Govern
    0.80
    Activations Density 0.291%

    No Known Activations