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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. 15046
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    Explanations

    phrases related to strategies or plans

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate strategies or recommendations

    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
    edin
    -0.84
    nick
    -0.76
    clair
    -0.72
     Skydragon
    -0.69
    cles
    -0.68
    alty
    -0.68
    ofi
    -0.67
    beat
    -0.66
    ttle
    -0.65
    mare
    -0.65
    POSITIVE LOGITS
    gery
    1.16
    bidden
    1.13
    geries
    1.05
     constructing
    0.98
     determining
    0.93
     resolving
    0.92
     implementing
    0.92
     dealing
    0.89
     combating
    0.88
     purposes
    0.88
    Activations Density 0.166%

    No Known Activations