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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. 12-RES-JB
    11. 4427
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    Explanations

    phrases related to driving or taking action

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    verbs related to driving or movement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seym
    -0.83
    illary
    -0.81
     Faces
    -0.73
    ypes
    -0.72
    çĦ
    -0.71
    roma
    -0.70
    Face
    -0.69
    wu
    -0.68
     Face
    -0.67
    clair
    -0.67
    POSITIVE LOGITS
     home
    0.91
    train
    0.90
     wedge
    0.81
     away
    0.77
     thru
    0.74
     drunk
    0.73
    ways
    0.73
     insane
    0.73
     mad
    0.71
     towards
    0.71
    Activations Density 0.094%

    No Known Activations