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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. 11108
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    Explanations

    phrases related to interaction between people

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing interpersonal relationships and interactions among individuals

    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
    tops
    -0.63
    gur
    -0.61
     Viz
    -0.60
     boots
    -0.60
    Chain
    -0.59
    kamp
    -0.59
     Zur
    -0.59
    haven
    -0.59
    letters
    -0.59
    IK
    -0.58
    POSITIVE LOGITS
     successive
    1.08
     individually
    0.87
     individual
    0.86
     iteration
    0.85
    other
    0.83
    THING
    0.79
    malink
    0.78
     element
    0.77
    dimension
    0.75
     ounce
    0.74
    Activations Density 0.039%

    No Known Activations