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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. 11-RES-JB
    11. 14067
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    Explanations

    phrases related to archaeological excavations and scientific investigations

    oai_token-act-pair · gpt-3.5-turbo

    information related to scientific investigations and excavations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     veto
    -0.76
     voic
    -0.72
     bully
    -0.72
     retaliate
    -0.71
    aughs
    -0.69
     scream
    -0.65
     sender
    -0.64
     Unch
    -0.62
     toast
    -0.61
     revol
    -0.60
    POSITIVE LOGITS
     examining
    1.32
     evaluating
    1.15
     undertaken
    1.14
     conducted
    1.14
     probing
    1.14
     assessing
    1.14
     investigating
    1.14
     analyzing
    1.10
     involving
    1.07
     uncover
    1.06
    Activations Density 0.334%

    No Known Activations