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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. 4870
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    INDEX
    Explanations

    research findings, primarily focusing on their significance and implications

    oai_token-act-pair · gpt-3.5-turbo
    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
     actionGroup
    -0.78
     burner
    -0.69
    skill
    -0.67
    tone
    -0.65
     sacrific
    -0.65
     Leilan
    -0.64
     chopping
    -0.64
     handles
    -0.63
     pilgrimage
    -0.63
     airst
    -0.61
    POSITIVE LOGITS
     corrobor
    1.02
     findings
    0.97
     contradict
    0.96
     indicate
    0.90
    uggest
    0.88
     confirm
    0.87
     suggest
    0.87
     dispro
    0.86
     prove
    0.84
     demonstrate
    0.82
    Activations Density 0.069%

    No Known Activations