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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. 5-RES-JB
    6. 503
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    Explanations

    mentions of specific decades of the past

    oai_token-act-pair · gpt-3.5-turbo

    the decade of the 1970s referenced multiple times in a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edIn
    -0.81
    ournals
    -0.72
     snipp
    -0.69
    rotein
    -0.67
     parcels
    -0.67
    Maker
    -0.65
    phabet
    -0.65
    acts
    -0.64
     clipboard
    -0.63
    imentary
    -0.63
    POSITIVE LOGITS
     onwards
    1.06
     onward
    1.05
    ixties
    0.87
     era
    0.83
     Era
    0.81
    -'
    0.71
     Barkley
    0.71
     Patton
    0.68
    lander
    0.66
     nostalg
    0.63
    Activations Density 0.033%

    No Known Activations