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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. 4-RES-JB
    11. 18637
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    Explanations

    environmental or natural disaster-related terms

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to environmental concerns and societal issues

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

    No Comments

    Negative Logits
    bilt
    -0.63
     srf
    -0.58
    allery
    -0.58
    senal
    -0.55
     Leilan
    -0.55
    foundland
    -0.54
    razil
    -0.53
    ;;;;
    -0.53
    qqa
    -0.53
    ixtures
    -0.52
    POSITIVE LOGITS
     lacks
    0.52
     could
    0.51
     couldn
    0.51
     hadn
    0.50
     exists
    0.50
     cannot
    0.49
     forgot
    0.49
     should
    0.49
     succeeds
    0.48
    "))
    0.48
    Activations Density 1.493%

    No Known Activations