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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. 23380
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    Explanations

    phrases indicating taking on responsibilities or challenges

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating taking on responsibilities or roles

    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
    anim
    -0.74
    fml
    -0.71
    rites
    -0.69
     Reflex
    -0.67
    uchs
    -0.66
    bye
    -0.65
    dt
    -0.64
    lua
    -0.64
     Traps
    -0.64
    timer
    -0.64
    POSITIVE LOGITS
     responsibilities
    1.02
    erous
    0.95
     responsibility
    0.93
     behalf
    0.89
     roles
    0.88
     board
    0.88
     burdens
    0.80
     burden
    0.78
     task
    0.76
     daunting
    0.75
    Activations Density 0.040%

    No Known Activations