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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. 7-RES-JB
    11. 1781
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    Explanations

    contemplation or reflection about something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express contemplation or reflection on various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stead
    -0.81
    keys
    -0.76
    hide
    -0.71
    IER
    -0.67
    waters
    -0.67
    git
    -0.66
    VIDEO
    -0.66
    WF
    -0.66
    zynski
    -0.64
    ante
    -0.63
    POSITIVE LOGITS
     how
    0.94
     hypot
    0.93
     nostalg
    0.93
     aloud
    0.81
     whether
    0.79
    agine
    0.71
     remembering
    0.70
     why
    0.70
     elig
    0.68
     karma
    0.68
    Activations Density 0.063%

    No Known Activations