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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
    11. 20903
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    Explanations

    phrases related to research teams or groups of people collaborating on projects

    oai_token-act-pair · gpt-3.5-turbo

    references to teams or groups in various contexts

    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
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    No Comments

    Negative Logits
    Dom
    -0.74
    fect
    -0.73
    lvl
    -0.70
    tml
    -0.70
    ocene
    -0.68
    forward
    -0.66
     Marketable
    -0.65
    ãĥ©ãĥ³
    -0.64
    entity
    -0.63
     Maw
    -0.62
    POSITIVE LOGITS
     mates
    0.99
    members
    0.88
    rons
    0.88
    mates
    0.87
    ubs
    0.86
     members
    0.82
    urally
    0.81
    liquid
    0.81
    peak
    0.77
     captains
    0.75
    Activations Density 0.052%

    No Known Activations