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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. 17123
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    Explanations

    phrases related to group membership or inclusion

    oai_token-act-pair · gpt-3.5-turbo

    references to small or select groups within a larger context

    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
     valves
    -0.70
    inventoryQuantity
    -0.67
    fax
    -0.66
    resp
    -0.65
    agate
    -0.65
    rises
    -0.65
    express
    -0.62
    oggles
    -0.61
    ãģĨ
    -0.60
    vertisements
    -0.60
    POSITIVE LOGITS
     workforce
    1.40
     group
    1.34
     cohort
    1.28
     crew
    1.23
     flock
    1.22
     contingent
    1.21
     population
    1.19
     populace
    1.19
     fanbase
    1.17
     delegation
    1.16
    Activations Density 1.772%

    No Known Activations