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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. 2-RES-JB
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    Explanations

    phrases related to desires or intentions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intent

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.78
    fell
    -0.75
    mir
    -0.71
    eding
    -0.71
    è¦ļéĨĴ
    -0.71
    strength
    -0.70
    authorized
    -0.68
    wikipedia
    -0.66
    Ale
    -0.66
    VERTISEMENT
    -0.65
    POSITIVE LOGITS
    reprene
    0.84
     warr
    0.79
    00200000
    0.69
    atem
    0.69
     extrad
    0.68
    urities
    0.68
     to
    0.66
     fug
    0.66
    rison
    0.65
    ipal
    0.65
    Activations Density 0.049%

    No Known Activations