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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. 4-RES-JB
    11. 16881
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    lees
    -0.81
    Americans
    -0.78
    isms
    -0.73
    awatts
    -0.71
    riages
    -0.68
     Eggs
    -0.68
    cases
    -0.68
    ernels
    -0.67
    pees
    -0.67
    chens
    -0.66
    POSITIVE LOGITS
    icer
    0.80
     solution
    0.79
     standpoint
    0.79
     equation
    0.78
     playbook
    0.77
     agent
    0.77
     regime
    0.77
     mindset
    0.76
     situation
    0.74
     advisory
    0.74
    Activations Density 0.647%

    No Known Activations