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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. 7330
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    Explanations

    phrases related to relationships and interactions between individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to interpersonal relationships and connections

    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
    veyard
    -0.60
    letters
    -0.58
    renheit
    -0.58
    oute
    -0.57
    models
    -0.56
    gur
    -0.55
     balloons
    -0.55
     nowhere
    -0.55
    tops
    -0.54
     Stories
    -0.54
    POSITIVE LOGITS
    other
    1.13
     successive
    0.97
     individually
    0.90
     iteration
    0.88
     respective
    0.82
    dimension
    0.79
     other
    0.79
     individual
    0.78
    ones
    0.77
     person
    0.77
    Activations Density 0.039%

    No Known Activations