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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. 6-RES-JB
    11. 611
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    Explanations

    word stems related to the concept of reporting or representation

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "rep" and "comm" related to community and representation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fare
    -0.86
    ding
    -0.80
    ized
    -0.74
    shock
    -0.72
    s
    -0.70
    gart
    -0.69
    ded
    -0.69
    DOS
    -0.67
    ships
    -0.67
    rule
    -0.67
    POSITIVE LOGITS
    ngth
    0.98
    ublic
    0.96
    olate
    0.89
    orr
    0.87
    ensical
    0.86
    ander
    0.84
    putable
    0.84
    utherford
    0.81
    resents
    0.78
    ittee
    0.78
    Activations Density 0.087%

    No Known Activations