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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. 7-RES-JB
    11. 3911
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    Explanations

    proper nouns related to various entities such as names of people, places, and organizations

    oai_token-act-pair · gpt-3.5-turbo

    end-of-text indicators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    renheit
    -0.72
     prest
    -0.65
    ividual
    -0.63
    akespe
    -0.62
     destro
    -0.62
     psychiat
    -0.61
    bda
    -0.60
    ilogy
    -0.59
     behav
    -0.57
    avorite
    -0.57
    POSITIVE LOGITS
     Shin
    0.69
     Hide
    0.65
     Learns
    0.61
     Detected
    0.60
     Ahmad
    0.60
     Wind
    0.58
     Rock
    0.58
     Background
    0.57
     Expand
    0.57
     Released
    0.57
    Activations Density 0.582%

    No Known Activations