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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. 9-RES-JB
    11. 24092
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    Explanations

    phrases related to misunderstanding or lack of understanding

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of understanding and respect

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    idav
    -0.86
    etermined
    -0.69
    raints
    -0.66
    moil
    -0.65
    rha
    -0.65
    oulos
    -0.65
    catentry
    -0.64
    ceiver
    -0.64
    leck
    -0.63
    oided
    -0.63
    POSITIVE LOGITS
     anymore
    1.72
     nor
    1.20
     whatsoever
    1.13
     anything
    1.07
     anybody
    0.97
     ANY
    0.92
     any
    0.90
     themselves
    0.88
    anything
    0.84
     anywhere
    0.84
    Activations Density 0.509%

    No Known Activations