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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. 2-RES-JB
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    Explanations

    the word "crazy" with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "crazy"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reviewed
    -0.97
    tein
    -0.90
    ribut
    -0.82
     Cheong
    -0.80
    ribute
    -0.77
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.76
    ãĥĺãĥ©
    -0.75
    apers
    -0.73
    çĦ
    -0.73
    lain
    -0.72
    POSITIVE LOGITS
     crazy
    0.81
     nuts
    0.75
     fringe
    0.70
     overboard
    0.70
     beasts
    0.70
     darling
    0.67
    ħĭ
    0.67
     beast
    0.66
     insane
    0.66
     chic
    0.66
    Activations Density 0.012%

    No Known Activations