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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. 1-RES-JB
    11. 14501
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Waters."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oard
    -0.71
    ERAL
    -0.70
    bable
    -0.70
    unal
    -0.70
     centralized
    -0.70
    ĻĤ
    -0.67
     Haiti
    -0.64
     prisoner
    -0.64
    uster
    -0.64
    OTS
    -0.63
    POSITIVE LOGITS
     Waters
    1.45
    waters
    0.95
    melon
    0.94
    cape
    0.87
    geist
    0.87
    combe
    0.86
    boro
    0.86
    hed
    0.83
    water
    0.81
    Cry
    0.81
    Activations Density 0.004%

    No Known Activations