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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. 18619
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    Explanations

    phrases related to liberation or breaking free from something

    oai_token-act-pair · gpt-3.5-turbo

    themes related to liberation and overcoming cycles of challenge or oppression

    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
    onna
    -0.72
    lihood
    -0.69
    Solution
    -0.67
    facing
    -0.67
     restores
    -0.66
    aired
    -0.65
    opsis
    -0.65
    saf
    -0.64
     avail
    -0.64
    vre
    -0.64
    POSITIVE LOGITS
     clutter
    1.06
     dependence
    1.05
     shack
    1.00
     reliance
    1.00
     obscurity
    0.99
     stigma
    0.97
     poverty
    0.97
     restrictive
    0.97
     negativity
    0.96
     misconceptions
    0.96
    Activations Density 0.345%

    No Known Activations