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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. 3870
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    Explanations

    phrases indicating a desire or intention to do something

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intention to do something

    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
    VERTISEMENT
    -0.75
    fell
    -0.70
    è¦ļéĨĴ
    -0.69
    SPONSORED
    -0.69
    workers
    -0.68
    semble
    -0.68
    iop
    -0.67
    eding
    -0.67
    kay
    -0.66
    products
    -0.66
    POSITIVE LOGITS
    reprene
    0.85
     warr
    0.79
    00200000
    0.68
    ipal
    0.68
    rison
    0.68
    urities
    0.66
     to
    0.64
     applause
    0.63
     extrad
    0.63
    allo
    0.63
    Activations Density 0.047%

    No Known Activations