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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. 8-RES-JB
    11. 14941
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    Explanations

    words related to negative impact or harm

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with negative consequences or harmful impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ancies
    -0.72
    rera
    -0.68
    erville
    -0.66
    phrase
    -0.62
    oked
    -0.61
    ramids
    -0.60
    £ı
    -0.59
    utenberg
    -0.58
     fanc
    -0.58
     cheek
    -0.57
    POSITIVE LOGITS
     havoc
    0.88
     impacting
    0.83
     deterrent
    0.80
     affecting
    0.74
     undermin
    0.74
    angering
    0.74
     downstream
    0.72
     insofar
    0.72
     harming
    0.71
     financially
    0.70
    Activations Density 0.212%

    No Known Activations