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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. 2-RES-JB
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    Explanations

    phrases related to being subjected to various negative experiences or actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "subjected" and its variations indicating experiences of hardship or trauma

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andel
    -0.74
     Helsinki
    -0.68
     Alps
    -0.66
    fly
    -0.66
    leaf
    -0.66
     ESP
    -0.65
     Zurich
    -0.64
    ARE
    -0.64
     Serie
    -0.62
     Maker
    -0.61
    POSITIVE LOGITS
     subjected
    1.07
    ĸļ
    0.94
    ynamic
    0.82
    Reviewer
    0.80
     aback
    0.74
     Subjects
    0.74
     captives
    0.74
    isson
    0.73
    untarily
    0.73
    itatively
    0.72
    Activations Density 0.010%

    No Known Activations