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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 21174
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    Explanations

    references to social class, particularly the "upper" class

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "upper" in various contexts, indicating a focus on hierarchical or elevated positions

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

    No Comments

    Negative Logits
     Machina
    -0.86
    tnc
    -0.86
    uality
    -0.83
    eln
    -0.78
    printf
    -0.77
    arium
    -0.71
    MRI
    -0.68
    HCR
    -0.68
     Frankenstein
    -0.66
    inatory
    -0.66
    POSITIVE LOGITS
    most
    1.12
     shaft
    0.87
    ĸļ士
    0.80
     bounds
    0.80
     tiers
    0.77
     respiratory
    0.77
     lip
    0.76
     lobe
    0.74
     thigh
    0.74
    parts
    0.74
    Activations Density 0.016%

    No Known Activations