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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
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    Explanations

    references to the brand "Kind" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to "Kindles" and related terms

    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
    asts
    -0.80
    UNCH
    -0.79
    çĦ
    -0.76
    ADS
    -0.73
    Tube
    -0.73
    VEL
    -0.69
    berus
    -0.67
    è¦ļéĨĴ
    -0.67
    IVER
    -0.67
     ABE
    -0.66
    POSITIVE LOGITS
     Kind
    1.15
    terness
    1.04
    kind
    0.89
    uin
    0.88
    ness
    0.87
    hearted
    0.86
    enstein
    0.86
    entimes
    0.86
    elf
    0.86
    ente
    0.83
    Activations Density 0.005%

    No Known Activations