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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. 3-RES-JB
    11. 17838
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    Explanations

    verbs related to outcomes or actions

    oai_token-act-pair · gpt-3.5-turbo

    words related to outcomes or results of actions and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Pic
    -0.75
    quart
    -0.67
    Cas
    -0.65
    licks
    -0.65
    è¦ļéĨĴ
    -0.64
    pmwiki
    -0.61
    illusion
    -0.61
    soft
    -0.58
    cas
    -0.57
    opens
    -0.57
    POSITIVE LOGITS
    enance
    0.81
    ELY
    0.75
    ADRA
    0.75
    :[
    0.72
    uate
    0.71
     Corker
    0.68
    ģĸ
    0.67
     someday
    0.65
    UGE
    0.65
    ATURE
    0.64
    Activations Density 0.581%

    No Known Activations