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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. 5982
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to significant historical or cultural events

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ificant
    -0.65
    oret
    -0.63
     differential
    -0.61
    ordinate
    -0.60
     localization
    -0.59
     consumers
    -0.59
     utilities
    -0.58
     tracker
    -0.58
     uptake
    -0.57
     ICC
    -0.56
    POSITIVE LOGITS
     namely
    0.92
    NetMessage
    0.83
     whom
    0.81
    whose
    0.79
    who
    0.78
    minus
    0.76
     aka
    0.74
     circa
    0.73
    UGH
    0.73
     viz
    0.72
    Activations Density 0.590%

    No Known Activations