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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. 11879
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    Explanations

    phrases containing the abbreviation "SL" followed by a numerical value

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of "Sl" followed by varying numbers

    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
    ãģ®éŃĶ
    -0.77
    ral
    -0.72
    bell
    -0.66
     pleas
    -0.65
    ICLE
    -0.64
    ||||
    -0.62
    rogens
    -0.61
    rises
    -0.61
    RON
    -0.60
    ãĥ£
    -0.60
    POSITIVE LOGITS
    ideshow
    1.23
    ippery
    1.20
    avery
    1.12
    aughter
    1.08
    oppy
    1.05
    ips
    1.04
    ickers
    1.03
    ick
    1.02
    ogan
    1.01
    ippers
    1.01
    Activations Density 0.020%

    No Known Activations