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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. 17844
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    Explanations

    verbs related to actions of force or compulsion

    oai_token-act-pair · gpt-3.5-turbo

    words related to driving or motivation

    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
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    No Comments

    Negative Logits
     Seym
    -0.96
    ereo
    -0.74
    çĦ
    -0.74
    roma
    -0.70
    umbn
    -0.68
    aido
    -0.67
    yip
    -0.64
    iao
    -0.64
    iannopoulos
    -0.64
     Lumpur
    -0.63
    POSITIVE LOGITS
     driving
    0.86
     away
    0.84
     wedge
    0.78
    bike
    0.74
    driving
    0.74
    wheel
    0.74
    train
    0.72
    away
    0.71
    ousel
    0.69
     driven
    0.68
    Activations Density 0.036%

    No Known Activations