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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. 6779
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    Explanations

    phrases related to the concept of "eyes"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "eyes" and "skies."

    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
    ARI
    -0.69
    rex
    -0.66
     stagnant
    -0.65
     lag
    -0.65
     conserv
    -0.64
    ivari
    -0.64
     marginal
    -0.64
     propriet
    -0.63
    rolet
    -0.63
     cp
    -0.62
    POSITIVE LOGITS
     Eyes
    4.10
    eyes
    2.34
     Skies
    2.20
     eyes
    2.00
     Eye
    1.40
    Eye
    1.38
     Faces
    1.33
     ears
    1.31
     skies
    1.26
    eye
    1.25
    Activations Density 0.021%

    No Known Activations