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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. 9-RES-JB
    6. 14608
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    Explanations

    phrases indicating continuation or progression of a list or series

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases that indicate continuation or elaboration on a subject

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Kids
    -0.69
     Kids
    -0.63
    liter
    -0.61
    NF
    -0.60
    Fight
    -0.60
     Cree
    -0.59
     Dude
    -0.57
    notice
    -0.57
     Purg
    -0.56
    WOR
    -0.56
    POSITIVE LOGITS
     forth
    1.68
    forth
    1.17
    othe
    1.06
    apy
    0.96
     far
    0.94
    oths
    0.90
    bered
    0.86
    ooo
    0.85
    oner
    0.85
    othes
    0.85
    Activations Density 0.045%

    No Known Activations