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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. 5614
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    INDEX
    Explanations

    words related to negative consequences and warnings

    oai_token-act-pair · gpt-3.5-turbo

    instances of the article "a" and contexts that indicate potential risks or ongoing issues

    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
    Not in Any Lists

    No Comments

    Negative Logits
    properties
    -0.74
    Events
    -0.74
    ahead
    -0.72
    evidence
    -0.72
    effects
    -0.72
    coins
    -0.69
    peed
    -0.69
    imore
    -0.68
    ributes
    -0.67
    iversary
    -0.67
    POSITIVE LOGITS
     detriment
    1.15
     false
    1.11
     pointless
    1.11
     dishonest
    1.11
    versive
    1.10
     worthless
    1.08
     lousy
    1.08
     spurious
    1.07
     flawed
    1.07
     useless
    1.07
    Activations Density 0.291%

    No Known Activations