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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. 1-RES-JB
    11. 8986
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    Explanations

    words related to wetness or water in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "wet" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    udic
    -0.73
    osite
    -0.69
    signed
    -0.68
    adr
    -0.66
    auri
    -0.66
    weekly
    -0.65
    abad
    -0.64
    egal
    -0.63
    utra
    -0.63
    CVE
    -0.63
    POSITIVE LOGITS
     wet
    1.26
     Wet
    1.13
    ting
    1.00
    terness
    0.99
     dry
    0.88
    ter
    0.87
    ted
    0.86
     nood
    0.83
    zel
    0.82
    isher
    0.79
    Activations Density 0.006%

    No Known Activations