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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. 7-RES-JB
    11. 5212
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    Explanations

    objects or concepts related to floors

    oai_token-act-pair · gpt-3.5-turbo

    references to floors in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eday
    -0.84
    elson
    -0.75
    NULL
    -0.74
    eness
    -0.71
    ortium
    -0.68
     ALS
    -0.66
    ega
    -0.64
    enegger
    -0.64
     Unch
    -0.63
     Alonso
    -0.61
    POSITIVE LOGITS
    floor
    1.06
    boards
    1.03
    nuts
    1.02
     floor
    0.98
     Floor
    0.98
    nut
    0.94
     mats
    0.89
    plan
    0.87
     floors
    0.87
    parts
    0.84
    Activations Density 0.032%

    No Known Activations