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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. 8849
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    INDEX
    Explanations

    phrases related to consequences or outcomes within a specific context

    oai_token-act-pair · gpt-3.5-turbo

    instances of frustration or complaints about various 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
    angering
    -0.75
    Uncommon
    -0.68
     Excellence
    -0.67
    istani
    -0.66
    Interstitial
    -0.66
    ñ
    -0.66
    shown
    -0.65
    ancies
    -0.64
    ailability
    -0.61
    aternity
    -0.60
    POSITIVE LOGITS
     begs
    0.91
     recap
    0.77
    aucus
    0.76
     congratulations
    0.76
     guess
    0.75
     yeah
    0.75
     conclude
    0.72
     wondering
    0.70
     proceeded
    0.69
     congr
    0.69
    Activations Density 0.201%

    No Known Activations