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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. 10-RES-JB
    11. 740
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    INDEX
    Explanations

    descriptive phrases related to interactions or emotions

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of emotional or interpersonal experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iosyncr
    -0.79
     promotes
    -0.77
     publishes
    -0.70
    ackets
    -0.69
    BRE
    -0.69
    olphins
    -0.69
    eware
    -0.68
    TRUMP
    -0.67
    ancial
    -0.66
     @
    -0.66
    POSITIVE LOGITS
     Jaune
    1.28
     Pyrrha
    1.28
     Malfoy
    1.22
     Severus
    1.21
     Elsa
    1.19
     Snape
    1.17
     Dumbledore
    1.09
     Hermione
    1.06
     Naruto
    1.05
     Draco
    1.03
    Activations Density 0.605%

    No Known Activations