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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. 6-RES-JB
    11. 10808
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    Explanations

    verbs related to questioning or examining closely

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with interrogation and questioning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jri
    -0.73
    Mos
    -0.72
    birth
    -0.72
     spare
    -0.69
    Offline
    -0.68
     mortg
    -0.66
    minecraft
    -0.66
    cakes
    -0.66
    yright
    -0.62
    SY
    -0.62
    POSITIVE LOGITS
     interrog
    1.14
     interrogation
    1.11
     interrogated
    1.00
     Techniques
    0.91
     questioning
    0.87
     techniques
    0.84
     probing
    0.81
    naire
    0.73
     sessions
    0.73
    eering
    0.71
    Activations Density 0.023%

    No Known Activations