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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. 16186
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    Explanations

    comparative descriptions of rates or levels

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating varying levels, rates, or conditions, particularly related to economics and environmental factors

    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
     Guards
    -0.71
    afia
    -0.66
    ivalry
    -0.63
     Suite
    -0.63
    ados
    -0.63
     Tayyip
    -0.63
     Goods
    -0.62
    itta
    -0.60
    ister
    -0.59
    nsic
    -0.58
    POSITIVE LOGITS
     rate
    1.26
     speeds
    1.24
     pace
    1.20
     expense
    1.19
     rates
    1.16
     level
    1.05
     velocity
    1.02
     intervals
    1.02
     behest
    1.01
     speed
    0.99
    Activations Density 0.145%

    No Known Activations