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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. 19880
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or names of people and places

    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
    etheless
    -0.76
    footed
    -0.69
    NetMessage
    -0.68
     butterflies
    -0.68
    External
    -0.65
    LINE
    -0.65
     ourselves
    -0.64
    Adjust
    -0.64
    Unknown
    -0.63
    COM
    -0.63
    POSITIVE LOGITS
    esi
    0.82
    arde
    0.82
     Fem
    0.72
    xual
    0.71
    uler
    0.71
     Nu
    0.70
    oute
    0.70
    roma
    0.68
    efe
    0.67
    EStream
    0.67
    Activations Density 0.218%

    No Known Activations