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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. 8-RES-JB
    11. 1852
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    timestamps that are well-formatted and identifiable in a document

    oai_token-act-pair · gpt-3.5-turbo

    numerical timestamps or significant data related to events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otos
    -0.76
     scrut
    -0.74
    ufact
    -0.69
    itiz
    -0.68
     ado
    -0.67
    bys
    -0.66
    æ©
    -0.66
    Art
    -0.65
    Fight
    -0.64
    esty
    -0.64
    POSITIVE LOGITS
     partName
    0.95
     Converted
    0.88
     Neighbor
    0.73
     Fiat
    0.72
     Acting
    0.68
     <+
    0.67
     Puppet
    0.67
     Sett
    0.65
     SCP
    0.65
     Serving
    0.65
    Activations Density 0.092%

    No Known Activations