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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. 9-RES-JB
    11. 11317
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    Explanations

    phrases related to travel and exploration

    oai_token-act-pair · gpt-3.5-turbo

    references to travel and movement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uracy
    -0.68
    FORE
    -0.62
     Emer
    -0.60
     occupant
    -0.58
    moil
    -0.57
    rets
    -0.57
    Leave
    -0.57
    ukes
    -0.56
     inherit
    -0.56
    buster
    -0.56
    POSITIVE LOGITS
     corridors
    1.12
     stairs
    1.02
     treacherous
    1.01
     halls
    0.98
     distances
    0.94
     winding
    0.92
     lengths
    0.90
     streets
    0.90
     perilous
    0.87
     rooft
    0.86
    Activations Density 0.301%

    No Known Activations