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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. 11-RES-JB
    11. 12976
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    Explanations

    phrases related to physical positioning or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to inaction or passivity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GAN
    -0.77
     GOODMAN
    -0.76
    £ı
    -0.71
    heast
    -0.69
    ģ«
    -0.68
    raits
    -0.68
    qua
    -0.68
    æ©
    -0.65
    ãĤ¨ãĥ«
    -0.63
    imity
    -0.62
    POSITIVE LOGITS
     passively
    1.12
     idle
    1.01
     waiting
    0.98
     helpless
    0.96
     id
    0.94
     patiently
    0.92
     smug
    0.92
     staring
    0.91
     silently
    0.86
     awaiting
    0.83
    Activations Density 0.117%

    No Known Activations