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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. 16199
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    Explanations

    phrases related to accepting a situation or truth, coming to terms with something, or acknowledging reality

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to acceptance and coming to terms with situations

    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
    QL
    -0.76
    isher
    -0.74
    aceutical
    -0.72
    rongh
    -0.70
    gui
    -0.68
    æ©
    -0.67
    emale
    -0.67
    ischer
    -0.66
    etrical
    -0.64
    rote
    -0.64
    POSITIVE LOGITS
     reality
    1.20
     realities
    1.16
     truths
    1.05
     responsibility
    0.97
     complicity
    0.97
     defeat
    0.97
     ambiguity
    0.96
     inev
    0.96
     fate
    0.94
     uncertainties
    0.94
    Activations Density 0.332%

    No Known Activations