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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. 0-RES-JB
    11. 9645
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    Explanations

    phrases related to internal processes or actions within an organization

    oai_token-act-pair · gpt-3.5-turbo

    references to internal processes and discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     majesty
    -0.75
     Lynd
    -0.69
    ño
    -0.68
    rouse
    -0.68
     thrill
    -0.67
     queen
    -0.67
     ub
    -0.66
     Natalie
    -0.66
    sylv
    -0.66
     biologist
    -0.65
    POSITIVE LOGITS
     Cutler
    2.60
     internally
    1.53
     Fang
    1.13
     Tai
    0.98
     Arbor
    0.96
     Harbaugh
    0.93
    gewater
    0.91
     LTE
    0.89
    igraph
    0.89
     receivers
    0.89
    Activations Density 0.066%

    No Known Activations