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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. 7-RES-JB
    11. 18627
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    Explanations

    phrases related to survey respondents and their opinions

    oai_token-act-pair · gpt-3.5-turbo

    references to survey participants or respondents in research data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Apocalypse
    -0.71
     Sabb
    -0.71
    rament
    -0.69
     Tour
    -0.68
     Cop
    -0.68
    Tang
    -0.68
    rip
    -0.67
     marrow
    -0.67
     Flags
    -0.67
    Cop
    -0.66
    POSITIVE LOGITS
     respondent
    0.89
     respondents
    0.88
    uggest
    0.84
     answ
    0.82
     interviewed
    0.81
     answered
    0.79
     fielded
    0.78
     herein
    0.77
     interviews
    0.72
     surveys
    0.72
    Activations Density 0.047%

    No Known Activations