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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5935
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    Explanations

    phrases with personal pronouns and possessive forms

    oai_token-act-pair · gpt-3.5-turbo

    repeated sequences of characters, particularly variations of the letter 'L'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Palestin
    -0.60
     fortun
    -0.59
     Kaf
    -0.57
     fragmentation
    -0.54
     mathemat
    -0.54
     intercepted
    -0.51
     fertil
    -0.51
     flowering
    -0.50
     jog
    -0.50
     grazing
    -0.50
    POSITIVE LOGITS
    ï¸ı
    0.74
    mad
    0.72
    sure
    0.72
    else
    0.72
    §
    0.65
    reed
    0.62
    cli
    0.62
    âĶĢâĶĢ
    0.62
    İ
    0.61
    clear
    0.61
    Activations Density 0.489%

    No Known Activations