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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. 3-RES-JB
    11. 12134
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    Explanations

    references to specific locations or places within text

    oai_token-act-pair · gpt-3.5-turbo

    references to "destination"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    appa
    -0.95
    aps
    -0.82
    croft
    -0.78
    lee
    -0.74
    IGHTS
    -0.72
    ooks
    -0.72
    erd
    -0.71
    opes
    -0.71
    ergy
    -0.70
    haw
    -0.70
    POSITIVE LOGITS
     destination
    1.24
     Destination
    1.18
     destinations
    1.07
     traveler
    0.75
     whence
    0.73
     location
    0.71
     haunt
    0.71
     awaits
    0.68
     Kuala
    0.67
     darling
    0.67
    Activations Density 0.008%

    No Known Activations