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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. 3-RES-JB
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    Explanations

    names of individuals associated with certain places

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and locations associated with notable events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inals
    -0.66
     replay
    -0.64
    arette
    -0.60
     Thief
    -0.60
     follower
    -0.59
     debit
    -0.58
    rely
    -0.58
    Friend
    -0.57
     dj
    -0.57
    rolog
    -0.57
    POSITIVE LOGITS
     Parsons
    0.90
    kamp
    0.83
    velength
    0.81
    outher
    0.80
    etsk
    0.79
    nel
    0.79
    ervative
    0.78
    igans
    0.78
     Pratt
    0.77
     Borough
    0.76
    Activations Density 0.011%

    No Known Activations