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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. 3-RES-JB
    11. 3197
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    Explanations

    mentions of dining experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to dining establishments and related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    姫
    -0.81
     Archangel
    -0.76
     Agency
    -0.71
    ledged
    -0.71
     ABE
    -0.68
    Address
    -0.66
    å¹
    -0.65
     Activity
    -0.63
     Proced
    -0.62
    ãĤº
    -0.62
    POSITIVE LOGITS
     din
    1.39
    ucle
    1.03
    ning
    1.02
    stal
    0.94
    eful
    0.89
    unci
    0.86
    acan
    0.86
    efully
    0.85
    omial
    0.85
    osaurs
    0.84
    Activations Density 0.011%

    No Known Activations