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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. 20886
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    Explanations

    phrases related to putting something into a specific position or state

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe the action of placing or positioning something

    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
    ģ«
    -0.64
     arrivals
    -0.64
    scl
    -0.64
    imester
    -0.62
     Admission
    -0.61
    ä¹
    -0.59
     unfocusedRange
    -0.58
     ingestion
    -0.57
     bos
    -0.57
     Purs
    -0.56
    POSITIVE LOGITS
     overboard
    0.77
    igham
    0.75
    sole
    0.74
    thal
    0.71
    pload
    0.69
    icum
    0.69
    atro
    0.67
    ixel
    0.67
     Canaver
    0.67
     leash
    0.65
    Activations Density 0.206%

    No Known Activations