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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. 1-RES-JB
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    Explanations

    verbs related to movement towards a specific location

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "arrive."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    bara
    -0.84
    uyomi
    -0.79
    ¥ŀ
    -0.78
    umb
    -0.78
    aff
    -0.75
    lim
    -0.74
    verbs
    -0.74
    icon
    -0.73
    userc
    -0.71
    raid
    -0.71
    POSITIVE LOGITS
     arrive
    0.99
     arriving
    0.90
     NX
    0.90
     arrives
    0.88
     WRITE
    0.87
     Dise
    0.84
     arrived
    0.83
     arrivals
    0.79
     Arri
    0.78
     Lank
    0.78
    Activations Density 0.009%

    No Known Activations