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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. 928
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    Explanations

    phrases related to improvement and development efforts

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the creation or establishment of positive conditions or experiences

    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
    Contents
    -0.67
    aunts
    -0.65
    ansk
    -0.65
     Izan
    -0.63
    !/
    -0.63
    oids
    -0.62
     Inferno
    -0.62
    ibrary
    -0.61
    ãĤ´
    -0.60
    Ancient
    -0.60
    POSITIVE LOGITS
     cohesive
    1.28
     coherent
    1.20
     balanced
    1.20
     satisfactory
    1.17
     seamless
    1.16
     healthier
    1.15
     healthy
    1.15
     sustainable
    1.15
     stable
    1.12
     smoother
    1.12
    Activations Density 0.284%

    No Known Activations