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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. 18622
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    Explanations

    phrases related to cleaning or tidying up

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to environmental cleanup

    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
    ulu
    -0.72
     reluct
    -0.68
     monop
    -0.67
    axter
    -0.66
     McGee
    -0.65
     Osw
    -0.65
    _-
    -0.64
    lez
    -0.64
    atars
    -0.62
    ãĥĥ
    -0.62
    POSITIVE LOGITS
    iencies
    0.93
    estern
    0.82
    posal
    0.77
     Autob
    0.77
    clean
    0.71
    cellence
    0.70
    cise
    0.69
     disinfect
    0.68
    due
    0.66
    dden
    0.64
    Activations Density 0.188%

    No Known Activations