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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. 3-RES-JB
    11. 23821
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    Explanations

    phrases related to interrogation and questioning

    oai_token-act-pair · gpt-3.5-turbo

    terms related to interrogation processes

    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
    Offline
    -0.80
     spare
    -0.70
    Created
    -0.66
    ensical
    -0.64
    ãģ®éŃĶ
    -0.64
    minecraft
    -0.64
    Gi
    -0.63
    fly
    -0.63
    ouf
    -0.62
    SY
    -0.62
    POSITIVE LOGITS
     interrog
    1.24
     interrogation
    1.17
     interrogated
    0.99
    isen
    0.83
     torture
    0.77
     questioning
    0.75
     Techniques
    0.74
    izabeth
    0.73
     probing
    0.72
     capt
    0.71
    Activations Density 0.013%

    No Known Activations