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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. 2818
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    Explanations

    proper nouns related to specific individuals and locations, such as people's names and place names

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and locations associated with specific narratives or events

    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
    oresc
    -0.90
    orescence
    -0.88
    ocre
    -0.85
    aceutical
    -0.85
    velength
    -0.84
    ores
    -0.83
    orses
    -0.82
    ricanes
    -0.82
    ricane
    -0.82
    ored
    -0.81
    POSITIVE LOGITS
     Parenthood
    0.87
     Maw
    0.82
     Brun
    0.81
    esville
    0.76
    ly
    0.75
     Debor
    0.73
     Heights
    0.72
     Barnett
    0.71
    drivers
    0.70
     Isles
    0.70
    Activations Density 0.025%

    No Known Activations