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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. 6-RES-JB
    11. 15205
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    Explanations

    time-related expressions, particularly those involving frequencies or intervals

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating frequency or repetition

    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
     Neutral
    -0.64
    andise
    -0.62
    aria
    -0.62
     merch
    -0.62
     FANTASY
    -0.61
    BSD
    -0.61
     Proxy
    -0.61
     Genie
    -0.60
    leeve
    -0.60
     Examiner
    -0.59
    POSITIVE LOGITS
     consecut
    0.90
     sidx
    0.81
    fect
    0.79
    aiman
    0.77
    secut
    0.74
    fts
    0.73
    enos
    0.71
    imeters
    0.67
    aucas
    0.67
    athi
    0.67
    Activations Density 0.185%

    No Known Activations