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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. 9-RES-JB
    11. 16261
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    Explanations

    examples given to elaborate on a topic

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating examples or instances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     neighb
    -0.69
    ailability
    -0.69
    Deal
    -0.64
    ONSORED
    -0.61
    "},"
    -0.59
     unlaw
    -0.58
     equally
    -0.58
    iership
    -0.57
     fulfil
    -0.57
    endish
    -0.56
    POSITIVE LOGITS
    :#
    0.82
     suppose
    0.81
    ,
    0.78
    ,.
    0.76
    :
    0.70
     imagine
    0.69
    .,
    0.67
    terday
    0.67
    xon
    0.65
     Abrams
    0.64
    Activations Density 0.043%

    No Known Activations