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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. 11-RES-JB
    11. 18755
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    timestamps in the format hh:mm am/pm

    oai_token-act-pair · gpt-3.5-turbo

    time and date references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    strings
    -0.62
    æł
    -0.60
    ãĤ°
    -0.59
    imately
    -0.56
     eventually
    -0.55
     uniforms
    -0.55
    stadt
    -0.55
     upside
    -0.55
     sooner
    -0.55
     Cla
    -0.54
    POSITIVE LOGITS
     pm
    1.32
    PM
    1.26
    pm
    1.25
     PM
    1.19
     IST
    1.12
    AM
    1.12
     AM
    1.10
     PDT
    1.08
    am
    1.02
     EDT
    0.99
    Activations Density 0.029%

    No Known Activations