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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 18130
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    Explanations

    phrases indicating examples or specifics

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a list or collection of various elements or facts

    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
    ocene
    -0.75
    ature
    -0.75
    jin
    -0.69
     Riders
    -0.68
     VG
    -0.66
     OK
    -0.63
    eways
    -0.62
    ocent
    -0.61
    brook
    -0.61
    OK
    -0.61
    POSITIVE LOGITS
     transpired
    0.81
    properties
    0.74
     pertaining
    0.72
    tions
    0.71
     Schr
    0.71
    س
    0.70
    worldly
    0.70
    nesses
    0.70
    Ø©
    0.67
     includ
    0.65
    Activations Density 0.026%

    No Known Activations