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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. 9-RES-JB
    11. 9178
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    INDEX
    Explanations

    phrases indicating completion or finality

    oai_token-act-pair · gpt-3.5-turbo

    expressions of completeness or totality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rams
    -0.73
    ogens
    -0.72
    rn
    -0.69
    iverpool
    -0.68
    rollers
    -0.66
    ãĥį
    -0.65
    windows
    -0.65
    geries
    -0.64
    ouses
    -0.64
    licts
    -0.62
    POSITIVE LOGITS
     reason
    0.81
     motivation
    0.79
    soType
    0.79
     lesson
    0.79
    natureconservancy
    0.77
     consolation
    0.76
     takeaway
    0.75
     scary
    0.75
     nutshell
    0.73
     aspiration
    0.72
    Activations Density 0.266%

    No Known Activations