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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. 0-RES-JB
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    Explanations

    phrases related to intense emotions or reactions

    oai_token-act-pair · gpt-3.5-turbo

    instances of emotional responses, particularly feelings of being captivated or strong negative feelings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    availability
    -0.81
    optim
    -0.75
    enburg
    -0.67
    espie
    -0.67
    SPONSORED
    -0.65
     tract
    -0.64
     foresee
    -0.64
    ADS
    -0.63
     accessibility
    -0.63
    avoid
    -0.63
    POSITIVE LOGITS
     stared
    1.70
     glared
    0.87
    quel
    0.82
     hated
    0.72
     stares
    0.71
    ihad
    0.70
    quished
    0.65
     Colour
    0.65
     Lump
    0.63
     gazed
    0.63
    Activations Density 0.006%

    No Known Activations