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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. 23115
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    Explanations

    phrases related to causing some form of harm or impact

    oai_token-act-pair · gpt-3.5-turbo

    terms related to causation and its effects, particularly in contexts involving harm or damage

    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
    uthor
    -0.74
    analy
    -0.69
     Marketable
    -0.67
    nesday
    -0.66
    dated
    -0.66
    anwhile
    -0.64
     Powers
    -0.64
    chieve
    -0.64
    method
    -0.63
    cknowled
    -0.63
    POSITIVE LOGITS
     havoc
    1.40
     headaches
    1.20
     disturbance
    1.14
     mayhem
    1.13
     uproar
    1.10
     damage
    1.09
     distress
    1.08
     harm
    1.06
     trouble
    1.05
     disruption
    1.05
    Activations Density 0.151%

    No Known Activations