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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. 6-RES-JB
    11. 17408
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    Explanations

    phrases related to initiating or planning future actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "set" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issance
    -1.03
    æѦ
    -0.67
    inventoryQuantity
    -0.64
     Taste
    -0.63
    lux
    -0.63
    asive
    -0.62
    vine
    -0.62
    ilee
    -0.60
    luence
    -0.60
    UGE
    -0.58
    POSITIVE LOGITS
    tle
    0.93
    tering
    0.91
     abl
    0.90
    offs
    0.85
     forth
    0.83
    list
    0.82
    tered
    0.82
    ters
    0.79
    ter
    0.78
    itia
    0.75
    Activations Density 0.033%

    No Known Activations