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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. 6-RES-JB
    11. 2833
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    Explanations

    terms related to movie theaters and movie releases

    oai_token-act-pair · gpt-3.5-turbo

    mentions of movie theaters and their associated activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onomous
    -0.72
     Puppet
    -0.72
     Lara
    -0.69
     Tale
    -0.68
    laus
    -0.67
     Applied
    -0.66
     Obst
    -0.66
     Job
    -0.63
     Angular
    -0.63
     Cisco
    -0.62
    POSITIVE LOGITS
     domestically
    0.89
    atform
    0.89
    ruary
    0.88
     receipts
    0.84
     theaters
    0.81
     shelves
    0.81
    lisher
    0.80
    waves
    0.80
     royalties
    0.78
     tradem
    0.76
    Activations Density 0.153%

    No Known Activations