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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. 2634
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    INDEX
    Explanations

    words related to mammals in a biological context

    oai_token-act-pair · gpt-3.5-turbo

    references to mammals and related biological terms

    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
    iffe
    -0.71
    uler
    -0.68
     Proposition
    -0.68
    roller
    -0.68
    field
    -0.68
    inventoryQuantity
    -0.66
     Jed
    -0.65
    inning
    -0.65
    room
    -0.64
    board
    -0.64
    POSITIVE LOGITS
    brates
    1.32
     carniv
    1.15
    brate
    1.15
     mammals
    1.14
     mammal
    1.05
     primates
    1.01
     species
    1.00
     reptiles
    0.99
    osaurs
    0.99
    oids
    0.98
    Activations Density 0.050%

    No Known Activations