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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. 2214
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    Explanations

    descriptions of physical movements and interactions between characters

    oai_token-act-pair · gpt-3.5-turbo

    references to objects and actions occurring in a scene or narrative context

    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
     consultants
    -0.60
     winters
    -0.60
     VIDEOS
    -0.59
    ichita
    -0.58
     Americas
    -0.58
     raids
    -0.57
    atra
    -0.57
     promoters
    -0.57
    avorite
    -0.56
     Factor
    -0.56
    POSITIVE LOGITS
     beside
    0.98
     clipboard
    0.96
     nervously
    0.93
     grinning
    0.88
    epad
    0.87
     leaning
    0.86
     curiously
    0.86
     calmly
    0.84
     staring
    0.80
     softly
    0.80
    Activations Density 0.336%

    No Known Activations