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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. 0-RES-JB
    11. 10134
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    Explanations

    phrases related to something significant or exceptional

    oai_token-act-pair · gpt-3.5-turbo

    terms related to significant or impactful events and actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cato
    -0.75
     delinquent
    -0.74
    ku
    -0.70
    ishly
    -0.69
     Hubbard
    -0.68
    ocl
    -0.68
    oci
    -0.65
     Willie
    -0.63
     pirates
    -0.63
    Topic
    -0.63
    POSITIVE LOGITS
    akable
    2.22
    mination
    2.09
     Dome
    1.95
    pter
    1.56
    amation
    1.41
    apixel
    1.26
     condom
    1.07
    onite
    0.98
    esome
    0.98
    heastern
    0.96
    Activations Density 0.058%

    No Known Activations