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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. 2-RES-JB
    11. 654
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    Explanations

    the verb 'spend' regardless of its context

    oai_token-act-pair · gpt-4-turbo

    phrases related to spending or consuming resources

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "spend."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sie
    -0.66
     Watson
    -0.65
     Seymour
    -0.65
     realizing
    -0.61
     Mash
    -0.60
    Come
    -0.60
     Nero
    -0.58
     Claud
    -0.58
     compr
    -0.58
     Furious
    -0.58
    POSITIVE LOGITS
    itures
    1.19
    iture
    0.97
     IPM
    0.94
    edIn
    0.86
     Spend
    0.84
     Spending
    0.83
    acion
    0.80
    kson
    0.79
    backs
    0.76
     arrang
    0.76
    Activations Density 0.025%

    No Known Activations