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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    phrases expressing strong emotions or opinions

    oai_token-act-pair · gpt-3.5-turbo

    emphatic or strong expressions of opinion, especially with the terms "Seriously" and "Honestly."

    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
    enary
    -0.69
    icipated
    -0.69
    arthy
    -0.68
    heny
    -0.66
    İĭ
    -0.65
    cair
    -0.64
     inspectors
    -0.63
    athered
    -0.63
    ipation
    -0.63
     remedies
    -0.63
    POSITIVE LOGITS
     Seriously
    1.05
    Seriously
    0.84
     kidding
    0.82
     dunno
    0.81
     FUCK
    0.77
    zers
    0.75
     Really
    0.74
     Awesome
    0.74
     Hate
    0.74
     freaking
    0.73
    Activations Density 0.023%

    No Known Activations