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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. 4-RES-JB
    11. 15214
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    Explanations

    verbs that express desire or wish

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing hopes and aspirations

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

    No Comments

    Negative Logits
     [-
    -0.63
     liable
    -0.63
    note
    -0.63
    acid
    -0.62
     Matter
    -0.60
     wastes
    -0.59
     brackets
    -0.58
     acid
    -0.57
     clipboard
    -0.57
     prone
    -0.56
    POSITIVE LOGITS
    llers
    0.79
     someday
    0.76
     revival
    0.70
     emulate
    0.69
     fulfil
    0.68
     bargain
    0.66
    eele
    0.65
     succeed
    0.64
    ãĤ´ãĥ³
    0.64
    ffer
    0.64
    Activations Density 0.053%

    No Known Activations