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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. 10-RES-JB
    11. 5406
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    Explanations

    phrases related to explanations or analyses

    oai_token-act-pair · gpt-3.5-turbo

    phrases that introduce methods or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģĮ
    -0.79
    izu
    -0.75
    gin
    -0.74
    ãĤ©
    -0.73
    ktop
    -0.72
    aredevil
    -0.71
    hyde
    -0.70
    odder
    -0.70
    esides
    -0.69
    orical
    -0.69
    POSITIVE LOGITS
    soever
    0.97
     differently
    0.82
     much
    0.79
     pervasive
    0.77
    ls
    0.77
     prevalent
    0.77
     disparate
    0.74
     humans
    0.73
     widespread
    0.72
     important
    0.71
    Activations Density 0.082%

    No Known Activations