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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. 11-RES-JB
    11. 18512
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    INDEX
    Explanations

    negative attributes or situations

    oai_token-act-pair · gpt-3.5-turbo

    negative phrases or terms related to fear or danger

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     adjusted
    -0.86
     UD
    -0.83
     adequate
    -0.82
     terminated
    -0.81
     sufficient
    -0.80
     credible
    -0.79
     probable
    -0.77
     effective
    -0.77
     weighted
    -0.76
     strongly
    -0.76
    POSITIVE LOGITS
    loving
    1.58
    hun
    1.51
    watching
    1.50
    eating
    1.49
    turned
    1.49
    hunter
    1.45
    hunt
    1.44
    themed
    1.44
    machine
    1.42
    thing
    1.41
    Activations Density 0.133%

    No Known Activations