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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. 5876
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    Explanations

    phrases related to taking apart or breaking down complex systems or structures

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of dismantling systems or structures

    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
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    Negative Logits
    Recommend
    -0.68
    Demand
    -0.62
    -----------
    -0.60
    atar
    -0.60
    mpeg
    -0.60
    vor
    -0.59
    ones
    -0.58
    Offic
    -0.57
    onement
    -0.57
    LAN
    -0.56
    POSITIVE LOGITS
     dismantle
    0.99
     dismantling
    0.96
     dismantled
    0.86
    ichick
    0.76
     dismant
    0.71
    xual
    0.70
    struction
    0.69
    ãĤ©
    0.67
    assemb
    0.67
    ãĤ¡
    0.64
    Activations Density 0.014%

    No Known Activations