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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. 8-RES-JB
    11. 9897
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    Explanations

    economic terms and concepts

    oai_token-act-pair · gpt-3.5-turbo

    economic terms and their impact on various markets and situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.73
    ĪĴ
    -0.72
    cknow
    -0.65
    Winged
    -0.64
    omorphic
    -0.61
    ITNESS
    -0.61
     pione
    -0.60
     Ped
    -0.60
    ļé
    -0.59
    ropolitan
    -0.57
    POSITIVE LOGITS
     considerably
    1.03
     tremendously
    0.93
     enormously
    0.86
     exponentially
    0.83
     immensely
    0.83
     altogether
    0.81
     momentarily
    0.78
     prematurely
    0.78
     significantly
    0.77
     greatly
    0.74
    Activations Density 0.776%

    No Known Activations