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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. 23837
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    Explanations

    phrases related to ethical or legal judgment

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to political critique and governance

    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
    nesia
    -0.70
     Endless
    -0.67
    Luck
    -0.66
    thood
    -0.64
     aging
    -0.64
     Arri
    -0.64
     Everywhere
    -0.62
     winters
    -0.62
     Pigs
    -0.61
     Tunnel
    -0.60
    POSITIVE LOGITS
     detrimental
    1.16
     harmful
    1.15
     impair
    1.10
     contrary
    1.07
     deemed
    1.07
     adversely
    1.07
     harming
    1.05
     jeopard
    1.04
     conducive
    1.04
     negatively
    1.03
    Activations Density 0.403%

    No Known Activations