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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. 17904
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    Explanations

    phrases beginning with the expression "In light of"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that introduce context or considerations surrounding events and situations

    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
    hare
    -0.75
    uda
    -0.70
    pload
    -0.69
    indal
    -0.69
    OUP
    -0.69
     Carnegie
    -0.68
     Royale
    -0.66
    olog
    -0.66
    irie
    -0.62
     Niagara
    -0.60
    POSITIVE LOGITS
    enment
    1.30
    ening
    1.15
    ened
    1.05
    hearted
    1.01
    weights
    1.00
    weight
    0.96
    bringer
    0.93
    ener
    0.92
    eyes
    0.91
    eners
    0.91
    Activations Density 0.031%

    No Known Activations