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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. 8-RES-JB
    11. 8615
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    INDEX
    Explanations

    statistical data and survey results

    oai_token-act-pair · gpt-3.5-turbo

    terms related to surveys and polling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    birth
    -0.72
    cel
    -0.69
    Plex
    -0.69
    jar
    -0.68
    launch
    -0.68
    rival
    -0.67
    flow
    -0.66
    cart
    -0.66
    ther
    -0.65
    fruit
    -0.65
    POSITIVE LOGITS
     extensively
    1.01
     anonymously
    0.90
     separately
    0.75
     favorably
    0.73
     surn
    0.71
    ioned
    0.69
     randomly
    0.68
    onite
    0.68
     complain
    0.67
     individually
    0.67
    Activations Density 0.077%

    No Known Activations