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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
    11. 22441
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    Explanations

    instances where someone expresses a desire or preference for something

    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
    è¦ļéĨĴ
    -0.74
    VERTISEMENT
    -0.70
    eding
    -0.69
    ammy
    -0.68
    SPONSORED
    -0.66
    uum
    -0.66
    wikipedia
    -0.64
    sequ
    -0.64
    reading
    -0.63
    byter
    -0.62
    POSITIVE LOGITS
    reprene
    0.84
    urities
    0.79
     extrad
    0.69
     warr
    0.67
    htar
    0.65
     to
    0.64
    istani
    0.63
    nels
    0.62
     want
    0.62
     wanted
    0.62
    Activations Density 0.077%

    No Known Activations