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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
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    Explanations

    phrases related to coercion or being forced to do something against one's will

    oai_token-act-pair · gpt-3.5-turbo

    instances of coercion or being compelled to act

    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
    ended
    -0.64
     Majority
    -0.63
    /-
    -0.62
     Laden
    -0.60
    vice
    -0.60
    intent
    -0.59
    İ
    -0.59
     Offense
    -0.59
     Prediction
    -0.59
    calling
    -0.59
    POSITIVE LOGITS
     endure
    1.24
     confront
    1.21
     undergo
    1.12
     relocate
    1.08
     concede
    1.06
     rely
    1.05
     reckon
    1.05
     apologise
    1.05
     conform
    1.03
     abandon
    1.03
    Activations Density 0.107%

    No Known Activations