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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. 11-RES-JB
    11. 5763
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    INDEX
    Explanations

    survey-related information, such as poll dates, sample sizes, and margins of error

    oai_token-act-pair · gpt-3.5-turbo

    statistical data related to surveys or polls

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nib
    -0.69
     mitigation
    -0.67
    AFTA
    -0.63
     slashing
    -0.61
    igl
    -0.61
     inaction
    -0.59
    ammy
    -0.58
     setbacks
    -0.58
     amput
    -0.57
     relativity
    -0.57
    POSITIVE LOGITS
     telephone
    1.03
     surve
    1.01
     polled
    0.95
     respondents
    0.95
     interviewing
    0.95
     respondent
    0.95
     surveyed
    0.93
     Telephone
    0.91
     Rasmussen
    0.89
    haar
    0.89
    Activations Density 0.182%

    No Known Activations