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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. 4236
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    Explanations

    phrases related to cleaning or removing something forcefully

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "sweep" and its variations

    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
    Not in Any Lists

    No Comments

    Negative Logits
     kneeling
    -0.69
     willpower
    -0.68
     gratification
    -0.64
     Minotaur
    -0.63
     restraint
    -0.62
     circumstance
    -0.61
     Palestin
    -0.61
     Esk
    -0.60
    ourke
    -0.60
     unwillingness
    -0.59
    POSITIVE LOGITS
    stakes
    1.87
    restling
    1.05
    shots
    0.87
    brush
    0.85
    sheets
    0.83
    opa
    0.83
    ãĥĥãĥĪ
    0.83
    agy
    0.81
    aways
    0.79
    apon
    0.78
    Activations Density 0.019%

    No Known Activations